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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. 17425
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    Explanations

    verbs related to work and progress

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ongoing actions or efforts

    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
    osate
    -0.72
    illegal
    -0.70
    amount
    -0.68
    vol
    -0.68
     altogether
    -0.68
    aven
    -0.67
    unless
    -0.67
    mon
    -0.65
    omination
    -0.65
    mberg
    -0.65
    POSITIVE LOGITS
     unfolds
    0.94
     progresses
    0.85
     unfolding
    0.81
     unfold
    0.76
     prepares
    0.76
     transitions
    0.74
     consolid
    0.73
     unfolded
    0.72
     deeper
    0.71
     progressed
    0.67
    Activations Density 0.232%

    No Known Activations