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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. 10-RES-JB
    11. 13575
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    Explanations

    words related to various reactions or responses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to responses and reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iciency
    -0.82
    friends
    -0.74
    cipled
    -0.68
    lay
    -0.67
    holder
    -0.66
    fusc
    -0.65
     Hels
    -0.65
    scribe
    -0.62
     Sinai
    -0.61
    locked
    -0.60
    POSITIVE LOGITS
    ivated
    1.31
    aries
    1.20
    ivating
    1.19
    ivation
    1.12
     reactions
    1.06
     reaction
    1.03
     thereto
    0.92
     Reaction
    0.88
     negatively
    0.86
    ivity
    0.85
    Activations Density 0.035%

    No Known Activations