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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
    11. 4163
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    Explanations

    specific details or targeted entities within text

    oai_token-act-pair · gpt-3.5-turbo

    references to particular details or defined characteristics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Tycoon
    -0.84
     Feldman
    -0.81
    ublic
    -0.71
    AUT
    -0.69
    ulton
    -0.69
     Kenn
    -0.68
    LAND
    -0.67
    IDS
    -0.67
    adays
    -0.67
     McGee
    -0.67
    POSITIVE LOGITS
    ities
    1.09
     identifiable
    0.97
    ties
    0.92
     geographical
    0.88
     geographic
    0.88
     kinds
    0.87
     wording
    0.86
     amounts
    0.84
     embodiments
    0.81
    lly
    0.80
    Activations Density 0.021%

    No Known Activations