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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. 2232
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    Explanations

    phrases related to different types of sandwiches

    oai_token-act-pair · gpt-3.5-turbo

    references to sandwiches

    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
    mberg
    -0.77
    orne
    -0.73
    sighted
    -0.69
    aft
    -0.66
    ighthouse
    -0.65
    pmwiki
    -0.65
    tics
    -0.64
    ignty
    -0.63
     Angels
    -0.63
    ibr
    -0.63
    POSITIVE LOGITS
     sandwiches
    1.13
     sandwich
    1.03
    wich
    0.96
    bowl
    0.91
     salads
    0.88
     eater
    0.86
    anut
    0.85
    eering
    0.85
     meats
    0.82
    abwe
    0.80
    Activations Density 0.016%

    No Known Activations