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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. 10-RES-JB
    11. 16215
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    Explanations

    phrases that indicate a lack of significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "little" indicating scarcity or insignificance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.77
    kus
    -0.66
     Methods
    -0.65
    arbon
    -0.65
    atile
    -0.61
    lation
    -0.60
    osponsors
    -0.60
    llers
    -0.60
    atche
    -0.59
    ËĪ
    -0.59
    POSITIVE LOGITS
     else
    1.03
    ened
    0.76
     consolation
    0.74
     fuss
    0.73
     resemblance
    0.72
     indication
    0.72
     regard
    0.71
     doubt
    0.71
     noticed
    0.71
     wonder
    0.70
    Activations Density 0.028%

    No Known Activations