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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    agent
    -0.67
    ivation
    -0.65
    angering
    -0.64
     livest
    -0.63
     effected
    -0.62
    TPPStreamerBot
    -0.61
    activ
    -0.59
     interval
    -0.59
    activated
    -0.59
    active
    -0.59
    POSITIVE LOGITS
    pload
    0.70
    gie
    0.69
    ãĤĮ
    0.69
    bilt
    0.68
    ¯¯¯¯
    0.67
    above
    0.66
    enance
    0.66
    esome
    0.65
    sonian
    0.64
    dylib
    0.64
    Activations Density 0.067%

    No Known Activations