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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. 13123
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    Explanations

    references to rehabilitation or rehab

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rehabilitation

    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
     Flan
    -0.73
     Wilde
    -0.69
    Dad
    -0.65
    DN
    -0.65
     Hollande
    -0.65
     Noir
    -0.62
    anza
    -0.61
    gian
    -0.60
    Parent
    -0.59
     Pixie
    -0.58
    POSITIVE LOGITS
    ilitation
    1.81
    ilitating
    1.74
     rehabilitation
    1.05
    apist
    1.04
    ilit
    1.02
     Rehab
    1.02
     rehab
    0.97
    spective
    0.94
     rehabilit
    0.93
    iliation
    0.93
    Activations Density 0.009%

    No Known Activations