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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. 1028
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    Explanations

    patterns related to names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of names and titles related to individuals or entities

    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
    BILITIES
    -0.83
    Reviewed
    -0.65
    BILITY
    -0.64
    kefeller
    -0.64
     litter
    -0.63
     canned
    -0.63
     pack
    -0.62
     wit
    -0.62
    acco
    -0.61
    ©¶æ
    -0.61
    POSITIVE LOGITS
     Pradesh
    0.87
    ients
    0.75
    ometown
    0.72
    uddin
    0.71
    undai
    0.71
    asca
    0.71
    oub
    0.71
    hya
    0.70
    amines
    0.66
    oola
    0.65
    Activations Density 0.145%

    No Known Activations