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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. 9053
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    Explanations

    expressions indicating permission or acceptance

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing acceptance or reassurance

    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
    sten
    -0.81
    ilities
    -0.75
    doms
    -0.74
    riber
    -0.74
    everal
    -0.72
    grave
    -0.71
    quin
    -0.69
    chet
    -0.66
    Pres
    -0.65
    ocrat
    -0.62
    POSITIVE LOGITS
    AY
    1.18
     bye
    0.73
     if
    0.73
    baum
    0.70
     folks
    0.69
    ãģĨ
    0.68
    nah
    0.68
    headed
    0.67
     anymore
    0.66
     insofar
    0.65
    Activations Density 0.067%

    No Known Activations