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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. 10-RES-JB
    11. 4774
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    Explanations

    words related to political figures and actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to classification or categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.70
    GD
    -0.63
    catentry
    -0.62
     Lans
    -0.60
    NetMessage
    -0.60
    nesday
    -0.59
    keye
    -0.58
    GER
    -0.58
    ERSON
    -0.58
     bargaining
    -0.57
    POSITIVE LOGITS
    ious
    1.17
    ergic
    1.08
    osity
    1.03
    omial
    1.02
    athan
    1.01
    acci
    0.99
    iously
    0.95
    ati
    0.94
    idia
    0.94
    ous
    0.94
    Activations Density 0.076%

    No Known Activations