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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. 17508
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    Explanations

    terms related to university athletics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "athlete" and its variations

    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
     shorth
    -0.70
     Wizard
    -0.67
     Reloaded
    -0.66
    ITED
    -0.66
    er
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.64
     beans
    -0.63
     Advent
    -0.63
    ãĤ§
    -0.61
    lda
    -0.61
    POSITIVE LOGITS
    aniel
    1.18
    urst
    1.13
    lete
    1.12
    reshold
    1.07
    ouse
    1.06
    ulhu
    1.01
    ouses
    1.00
    olics
    0.96
    arine
    0.95
    letes
    0.94
    Activations Density 0.045%

    No Known Activations