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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. 23663
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    Explanations

    words related to achievements or significant outcomes

    oai_token-act-pair · gpt-3.5-turbo

    elements related to outcomes, effectiveness, and responsibilities

    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
    votes
    -0.72
    laughs
    -0.68
    Adds
    -0.62
    HAM
    -0.58
     ILCS
    -0.56
    OV
    -0.55
    Condition
    -0.55
    Recomm
    -0.54
     Travels
    -0.54
    cycles
    -0.54
    POSITIVE LOGITS
     are
    1.48
     aren
    1.41
     were
    1.39
     weren
    1.39
     seem
    1.13
     appear
    1.10
     constitute
    1.08
     have
    1.08
     differ
    1.08
     vary
    1.05
    Activations Density 0.533%

    No Known Activations