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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. 4-RES-JB
    11. 3966
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    Explanations

    specific names related to a famous individual or location

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to a specific individual, particularly their name

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

    No Comments

    Negative Logits
    thia
    -0.70
    ctica
    -0.69
    ngth
    -0.67
    qqa
    -0.64
    zech
    -0.62
    rily
    -0.61
     grave
    -0.61
    ACTED
    -0.61
     ashore
    -0.59
     awa
    -0.59
    POSITIVE LOGITS
    iculty
    1.05
    erences
    0.95
    ness
    0.92
    ield
    0.90
    doms
    0.87
    iff
    0.86
    iffs
    0.82
    inal
    0.81
    yg
    0.80
    reys
    0.79
    Activations Density 0.015%

    No Known Activations