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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
    11. 3010
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    Explanations

    mentions of firearms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "AR" and related terms

    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
    hower
    -0.86
    éĹĺ
    -0.84
    ãĤ´ãĥ³
    -0.81
    ãĥĩãĤ£
    -0.77
    ãĥ¼ãĥĨãĤ£
    -0.73
    cake
    -0.70
     Rollins
    -0.70
    ãĥ¯
    -0.70
     Pelosi
    -0.70
     Mercury
    -0.66
    POSITIVE LOGITS
    ENA
    0.96
    RR
    0.91
    ansas
    0.89
    RL
    0.86
    OUND
    0.82
    RAY
    0.79
    ELY
    0.78
    rection
    0.77
    IZ
    0.76
    ANGE
    0.76
    Activations Density 0.003%

    No Known Activations