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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. 23691
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    INDEX
    Explanations

    mentions of strict or challenging situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to "hard" topics or issues, particularly in a political or social context

    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
    amera
    -0.79
    ript
    -0.68
    ipt
    -0.68
    uate
    -0.67
    akespeare
    -0.66
    umbn
    -0.66
    uador
    -0.65
     Gould
    -0.64
    reon
    -0.64
     Tot
    -0.64
    POSITIVE LOGITS
    working
    1.06
    coded
    1.05
    ening
    1.04
    ball
    1.03
    wired
    1.03
    cover
    1.00
    ened
    0.97
    eners
    0.97
    dri
    0.95
    drive
    0.94
    Activations Density 0.035%

    No Known Activations