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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. 3084
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    INDEX
    Explanations

    phrases related to sports matches and competition round names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific game rounds or phases in competitions

    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
     ABE
    -0.74
     Rudd
    -0.67
     Rosenberg
    -0.67
     Hope
    -0.65
     behalf
    -0.63
     Abel
    -0.61
    å¦
    -0.61
     antid
    -0.60
    utions
    -0.60
     Luthor
    -0.58
    POSITIVE LOGITS
    finals
    1.51
    final
    1.42
    master
    1.13
    masters
    1.03
    staff
    0.94
    century
    0.93
    quarter
    0.92
    deck
    0.86
    pipe
    0.85
     century
    0.85
    Activations Density 0.033%

    No Known Activations