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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. 9977
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    Explanations

    mentions of physical locations or specific contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a metaphorical or physical 'depth' related to experience or locations

    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
    quel
    -0.79
    ittee
    -0.75
    /-
    -0.72
    SourceFile
    -0.72
    Reviewer
    -0.71
    amount
    -0.71
    FIG
    -0.70
    REF
    -0.69
    reau
    -0.69
    ãĥĹ
    -0.68
    POSITIVE LOGITS
     civilisation
    0.90
     civilization
    0.83
     academia
    0.83
     empires
    0.80
     adulthood
    0.79
     legality
    0.78
     despair
    0.78
     sanity
    0.74
     adolescence
    0.72
     Appalach
    0.72
    Activations Density 0.215%

    No Known Activations