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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. 12-RES-JB
    11. 3875
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    Explanations

    mentions of specific positions or roles related to a sports team

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating actions or states related to teams or players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Allah
    -0.75
    assment
    -0.71
    Relations
    -0.69
     Unsure
    -0.67
    abal
    -0.66
    10000
    -0.65
     âĨij
    -0.64
    200000
    -0.64
    9999
    -0.63
    hess
    -0.62
    POSITIVE LOGITS
     offense
    1.32
     defense
    1.19
     paper
    1.01
     Offense
    1.00
     offence
    0.93
     Sundays
    0.93
     waivers
    0.91
     defence
    0.88
    etime
    0.88
    paper
    0.87
    Activations Density 0.080%

    No Known Activations