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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. 1151
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    Explanations

    information credited to or provided by a source

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "courtesy" in the context of attribution or source acknowledgment

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oshenko
    -0.94
    akia
    -0.85
    olver
    -0.84
    ako
    -0.82
    atform
    -0.82
    lear
    -0.79
    iated
    -0.77
    ago
    -0.77
    agh
    -0.77
    runs
    -0.75
    POSITIVE LOGITS
    tesy
    0.93
    CLASSIFIED
    0.81
     courtesy
    0.80
     Credit
    0.70
     Thomson
    0.68
    ILY
    0.67
     Cullen
    0.66
     Dragonbound
    0.66
    giving
    0.65
    rored
    0.65
    Activations Density 0.007%

    No Known Activations