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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. 19972
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    Explanations

    phrases related to evaluation or judgment

    oai_token-act-pair · gpt-3.5-turbo

    themes related to evaluation and assessment of societal conditions

    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
    essor
    -0.69
    anwhile
    -0.63
     Cosponsors
    -0.61
     portfolios
    -0.60
    assies
    -0.59
    afia
    -0.59
    regate
    -0.57
     vendors
    -0.56
     stash
    -0.56
    arger
    -0.56
    POSITIVE LOGITS
     occurring
    0.94
     achievable
    0.90
     happening
    0.86
     commonplace
    0.84
     unthinkable
    0.82
     punishable
    0.81
     unavoidable
    0.81
     impossible
    0.80
     inevitable
    0.80
     foreseeable
    0.79
    Activations Density 0.795%

    No Known Activations