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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. 11-RES-JB
    11. 884
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to crime and criminals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     increments
    -0.72
    æ©Ł
    -0.71
     Fork
    -0.66
    angan
    -0.66
    ahon
    -0.65
     conversation
    -0.65
    uncture
    -0.64
    Ķ
    -0.62
     bilateral
    -0.62
    earchers
    -0.62
    POSITIVE LOGITS
     who
    1.24
    ervatives
    1.22
     whom
    1.10
     intent
    1.08
     lurking
    1.06
    hip
    1.06
    paces
    1.04
    ervative
    1.02
    who
    1.01
    hips
    1.00
    Activations Density 0.229%

    No Known Activations