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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. 11-RES-JB
    11. 17078
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    Explanations

    words related to actions or plans

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jamin
    -0.63
    patient
    -0.61
    pei
    -0.56
    iple
    -0.56
    circ
    -0.55
    atters
    -0.55
    ãĤµ
    -0.54
    bent
    -0.53
    she
    -0.52
    toe
    -0.52
    POSITIVE LOGITS
     during
    1.04
    .</
    0.94
    !.
    0.94
    .
    0.92
     shortly
    0.90
    .(
    0.90
     anyways
    0.89
     whilst
    0.86
    .","
    0.84
    .–
    0.84
    Activations Density 0.492%

    No Known Activations