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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. 11817
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    Explanations

    words related to negative emotions or risk

    oai_token-act-pair · gpt-3.5-turbo

    terms related to anxiety or apprehension

    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
    xtap
    -0.69
    vet
    -0.68
    bard
    -0.65
    elta
    -0.64
    ascript
    -0.64
    lease
    -0.63
    comfort
    -0.61
    gins
    -0.61
    ="/
    -0.60
    got
    -0.59
    POSITIVE LOGITS
     that
    1.19
     of
    0.92
     they
    0.84
    that
    0.76
     THAT
    0.73
     about
    0.72
     there
    0.71
     it
    0.67
     he
    0.66
     linking
    0.65
    Activations Density 0.153%

    No Known Activations