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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. 9-RES-JB
    11. 8978
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    Explanations

    verbs or phrases indicating a tendency or likelihood of a particular action or outcome

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tend" and emphasize repeated phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.72
    yz
    -0.69
    zbek
    -0.67
    arta
    -0.66
    ZA
    -0.60
    ingham
    -0.60
     Polo
    -0.59
    lain
    -0.59
     Slate
    -0.59
    loo
    -0.58
    POSITIVE LOGITS
    rils
    1.41
    entious
    1.28
     toward
    1.09
     towards
    1.01
    ril
    0.99
    entimes
    0.86
    erest
    0.79
     favour
    0.76
    ivated
    0.76
    erer
    0.76
    Activations Density 0.044%

    No Known Activations