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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. 9-RES-JB
    11. 19958
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    Explanations

    phrases related to making decisions or conclusions based on specific criteria

    oai_token-act-pair · gpt-3.5-turbo

    phrases or expressions that include the word "based."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ese
    -0.73
     Leilan
    -0.70
    ESE
    -0.67
    ideshow
    -0.65
    eg
    -0.63
    apes
    -0.62
     Kro
    -0.59
    osen
    -0.58
    nel
    -0.58
    zz
    -0.56
    POSITIVE LOGITS
     upon
    1.11
     solely
    0.98
     loosely
    0.87
     purely
    0.79
    atively
    0.74
    uate
    0.73
    uates
    0.73
     off
    0.71
     on
    0.70
    plates
    0.70
    Activations Density 0.039%

    No Known Activations