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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. 2372
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    Explanations

    phrases related to physical locations or objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to bodily functions and actions

    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
     dup
    -0.67
    ngth
    -0.66
    Marie
    -0.64
    [_
    -0.64
    iazep
    -0.63
    imposed
    -0.60
     mosqu
    -0.58
     challeng
    -0.58
     drib
    -0.57
    MW
    -0.57
    POSITIVE LOGITS
    ĪĴ
    0.77
     Butterfly
    0.69
    aneers
    0.67
    eor
    0.66
     Ware
    0.65
    swick
    0.64
    edia
    0.63
    oons
    0.63
    cular
    0.62
    uary
    0.62
    Activations Density 0.226%

    No Known Activations