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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. 1-RES-JB
    11. 8557
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    Explanations

    phrases related to projects or tasks

    oai_token-act-pair · gpt-3.5-turbo

    words related to different genres or styles in film and art

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TY
    -0.75
    MENT
    -0.69
    EStreamFrame
    -0.62
    izoph
    -0.61
     PROG
    -0.61
    VALUE
    -0.61
     smokes
    -0.61
    TE
    -0.60
    vernment
    -0.60
     WATCHED
    -0.60
    POSITIVE LOGITS
    eds
    1.10
    nesday
    0.97
    linger
    0.94
    terday
    0.91
    kins
    0.90
    uces
    0.90
    ford
    0.85
    uced
    0.85
    emption
    0.85
    ieval
    0.84
    Activations Density 0.008%

    No Known Activations