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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. 2928
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    Explanations

    phrases related to risk, safety, caution, and attention to detail

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or attitudes related to economic measures and their implications

    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
     crisp
    -0.61
    odes
    -0.60
    urgy
    -0.60
     tidy
    -0.59
     cooler
    -0.59
     convenience
    -0.58
    olid
    -0.57
     ops
    -0.57
     glossy
    -0.57
     beautifully
    -0.57
    POSITIVE LOGITS
     towards
    0.89
     toward
    0.87
     Towards
    0.86
    full
    0.82
     Regarding
    0.77
    anamo
    0.77
    worthiness
    0.77
    staking
    0.75
     regard
    0.74
     regarding
    0.73
    Activations Density 0.565%

    No Known Activations