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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. 5653
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    Explanations

    restrictive conditions or limitations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating exclusivity or restrictions in actions

    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
    idon
    -0.68
    env
    -0.60
    insula
    -0.59
     PLUS
    -0.58
    duino
    -0.58
    ffen
    -0.58
    git
    -0.58
    nee
    -0.57
    ducers
    -0.57
    ulty
    -0.56
    POSITIVE LOGITS
     marginally
    1.00
     spor
    0.90
     insofar
    0.88
     occasionally
    0.80
    onse
    0.80
     intermitt
    0.74
     incidentally
    0.74
    ices
    0.73
    ones
    0.72
     partially
    0.72
    Activations Density 0.067%

    No Known Activations