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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. 3-RES-JB
    11. 17120
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    INDEX
    Explanations

    mentions of drafts or draft-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to drafts or draft documents

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     charism
    -0.72
    hips
    -0.71
     destro
    -0.68
    tics
    -0.68
    tesy
    -0.68
    soever
    -0.67
    cellence
    -0.66
    cipl
    -0.65
    alach
    -0.64
     Brands
    -0.64
    POSITIVE LOGITS
    smanship
    1.46
    Kings
    1.05
     draft
    0.81
     drafts
    0.80
     dod
    0.72
    л
    0.72
    lings
    0.70
     queue
    0.69
    culosis
    0.67
    jet
    0.67
    Activations Density 0.014%

    No Known Activations