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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. 10-RES-JB
    11. 1319
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    Explanations

    interrogative phrases that prompt the reader to consider a choice or option

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "which."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    greg
    -0.78
    ancial
    -0.75
    perty
    -0.73
    fried
    -0.69
    ancock
    -0.65
    trained
    -0.65
    FACE
    -0.64
    her
    -0.64
    Ĥİ
    -0.64
    athered
    -0.63
    POSITIVE LOGITS
     brings
    1.47
     begs
    1.44
     means
    1.16
     leads
    1.12
     reminds
    1.10
     raises
    1.06
     translates
    0.99
     prompts
    0.99
     leaves
    0.97
     makes
    0.96
    Activations Density 0.039%

    No Known Activations