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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. 3-RES-JB
    11. 15355
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    INDEX
    Explanations

    phrases or terms indicating presentation, submission, or proposition of ideas or arguments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to proposals and arguments being presented

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ially
    -0.66
     Admission
    -0.61
    andowski
    -0.61
     opened
    -0.59
    ELY
    -0.59
    ģ«
    -0.58
    Changed
    -0.58
    xe
    -0.58
    quel
    -0.58
    ä¹
    -0.58
    POSITIVE LOGITS
    igham
    0.82
    pload
    0.75
    igslist
    0.74
    lehem
    0.73
    ulhu
    0.73
    atro
    0.69
    rescent
    0.63
    puff
    0.63
     Pengu
    0.62
    ragon
    0.62
    Activations Density 0.050%

    No Known Activations