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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. 9-RES-JB
    11. 14316
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    Explanations

    words related to someone's attitude or stance towards doing something, such as reluctance, willingness, or refusal

    oai_token-act-pair · gpt-3.5-turbo

    terms related to willingness and refusal to act

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wrap
    -0.65
     Surv
    -0.63
    ouk
    -0.62
    oval
    -0.59
    ordon
    -0.59
    umenthal
    -0.58
    oiler
    -0.58
    ctors
    -0.57
     Frag
    -0.56
    ikh
    -0.54
    POSITIVE LOGITS
     attitude
    0.86
     willingness
    0.85
    lessness
    0.84
     to
    0.82
     rate
    0.80
    fulness
    0.80
    abl
    0.76
     unwillingness
    0.74
     toward
    0.71
    externalActionCode
    0.71
    Activations Density 0.095%

    No Known Activations