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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. 4-RES-JB
    11. 12134
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    Explanations

    phrases referencing a continuation or consequence of previous data or information

    oai_token-act-pair · gpt-3.5-turbo

    sentences that begin with "This" and likely contextualize a statement or argument

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ARS
    -0.75
    unk
    -0.69
    aws
    -0.68
    pots
    -0.68
    adle
    -0.66
    oller
    -0.65
    icons
    -0.62
    mist
    -0.61
    agi
    -0.61
    rums
    -0.59
    POSITIVE LOGITS
     article
    0.81
     discrepancy
    0.81
     arrang
    0.81
     week
    0.80
     latter
    0.80
     trope
    0.78
     latest
    0.78
     contrasts
    0.75
     phenomenon
    0.75
     culminated
    0.73
    Activations Density 0.168%

    No Known Activations