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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. 8-RES-JB
    11. 24233
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    Explanations

    words related to limitation or constraint

    oai_token-act-pair · gpt-3.5-turbo

    terms related to suffering or oppressive conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.74
    senal
    -0.73
    videos
    -0.70
     Noir
    -0.68
     neigh
    -0.68
    REF
    -0.67
     Bravo
    -0.64
    \\\\\\\\
    -0.63
    Ô
    -0.63
    iannopoulos
    -0.63
    POSITIVE LOGITS
    erers
    1.33
    erer
    1.21
    ocating
    1.18
    ocation
    1.07
    ixed
    1.03
    rag
    1.01
    ocated
    1.00
    rage
    0.97
    ainment
    0.97
    ient
    0.97
    Activations Density 0.029%

    No Known Activations