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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4563
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    Explanations

    phrases related to associations or correlations between concepts, particularly in the fields of marketing, neuroscience, social psychology, and diet

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to associations and correlations in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Divide
    -0.65
    lite
    -0.59
    arta
    -0.57
    intend
    -0.53
     Subtle
    -0.52
    division
    -0.52
     Sandwich
    -0.52
     Oaks
    -0.51
     Dispatch
    -0.51
    schild
    -0.51
    POSITIVE LOGITS
     with
    0.82
     negatively
    0.73
     favorably
    0.71
    ativity
    0.69
     positively
    0.67
    sym
    0.67
    atively
    0.66
    esthesia
    0.66
     thereto
    0.66
     closely
    0.64
    Activations Density 0.085%

    No Known Activations