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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. 8204
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    INDEX
    Explanations

    precursors or requirements

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to conditions or attributes that are necessary prerequisites

    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
    Reviewer
    -1.00
    lift
    -0.87
    geist
    -0.80
    æѦ
    -0.79
    å°Ĩ
    -0.74
    REDACTED
    -0.72
     Hearts
    -0.72
    Ring
    -0.71
    bucks
    -0.71
    bill
    -0.71
    POSITIVE LOGITS
     prec
    1.12
    ocious
    0.99
    ursor
    0.93
     compr
    0.88
    autions
    0.87
    ordial
    0.87
    requisites
    0.87
    ursed
    0.85
    isions
    0.85
    atell
    0.82
    Activations Density 0.007%

    No Known Activations