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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. 20141
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    Explanations

    phrases related to first impressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote initial impressions or first thoughts

    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
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    No Comments

    Negative Logits
    sports
    -0.71
    far
    -0.68
    still
    -0.67
    span
    -0.67
    yet
    -0.67
    RW
    -0.66
    contin
    -0.65
    cffff
    -0.65
    İĭ
    -0.64
    claimer
    -0.64
    POSITIVE LOGITS
     responders
    0.86
     noticed
    0.75
     checkout
    0.75
     introdu
    0.73
     knocks
    0.72
     encountered
    0.70
    */(
    0.69
     reaction
    0.69
     exclaimed
    0.68
     checked
    0.68
    Activations Density 0.155%

    No Known Activations