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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. 3-RES-JB
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    Explanations

    mentions of the sports team "Devils"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team, "Devils"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yles
    -0.75
    ta
    -0.73
    tain
    -0.70
    achable
    -0.68
    lied
    -0.68
    ately
    -0.66
    yright
    -0.66
    lying
    -0.66
    ular
    -0.66
    animate
    -0.65
    POSITIVE LOGITS
     Devils
    1.17
     Advocate
    0.83
    esses
    0.79
     Rays
    0.77
    warm
    0.73
     Moose
    0.72
    CRIP
    0.71
    jam
    0.71
    olver
    0.70
     Awakens
    0.70
    Activations Density 0.009%

    No Known Activations