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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. 6122
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    Explanations

    words related to negative events or accusations, such as grievances, abuse, and disputes

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social and political issues

    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
    etheless
    -0.87
     withd
    -0.66
     orchestr
    -0.63
     destro
    -0.57
    izabeth
    -0.57
    leton
    -0.56
    los
    -0.56
     accompanies
    -0.56
     participates
    -0.56
    mouth
    -0.55
    POSITIVE LOGITS
     squarely
    0.89
     into
    0.76
     aside
    0.75
     moot
    0.74
     succinct
    0.72
     simpler
    0.71
     onto
    0.70
     firmly
    0.69
     irrelevant
    0.68
     obsolete
    0.68
    Activations Density 0.303%

    No Known Activations