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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. 2310
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    Explanations

    references to the publication "Detroit Free Press"

    oai_token-act-pair · gpt-3.5-turbo

    references to the organization "Free Press"

    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
    ENTS
    -0.74
    iop
    -0.73
    ysis
    -0.73
     therap
    -0.70
    uality
    -0.70
     bitters
    -0.67
    ional
    -0.67
    warts
    -0.67
     dece
    -0.65
     envy
    -0.65
    POSITIVE LOGITS
    zing
    1.14
    bie
    0.98
    bies
    0.98
    zer
    0.96
    zes
    0.95
    zers
    0.94
    gans
    0.91
    edom
    0.86
    BSD
    0.83
    NAS
    0.83
    Activations Density 0.028%

    No Known Activations