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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. 5912
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    Explanations

    words related to intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote intention, purpose, or goals

    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
    aples
    -0.65
    rete
    -0.65
    ahime
    -0.61
    milo
    -0.58
     Moves
    -0.57
     Figures
    -0.57
    cit
    -0.56
    imore
    -0.55
     bothers
    -0.55
    eni
    -0.55
    POSITIVE LOGITS
     of
    0.71
    liest
    0.70
     assumption
    0.70
     caveat
    0.70
    REDACTED
    0.69
    ctor
    0.66
    idding
    0.64
    posts
    0.62
    onym
    0.62
     à¨
    0.60
    Activations Density 0.144%

    No Known Activations