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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. 6-RES-JB
    11. 4268
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    INDEX
    Explanations

    references to sports quarterfinal matches

    oai_token-act-pair · gpt-3.5-turbo

    references to specific stages of tournaments or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.87
    HCR
    -0.71
     behalf
    -0.69
     antid
    -0.66
     Proposition
    -0.64
    */(
    -0.64
    APD
    -0.61
    apons
    -0.61
     kin
    -0.59
    å¦
    -0.59
    POSITIVE LOGITS
    finals
    1.29
    final
    1.11
    quarter
    0.95
    staff
    0.93
    arse
    0.91
    eteen
    0.88
    pipe
    0.84
    master
    0.84
    cent
    0.84
    century
    0.83
    Activations Density 0.021%

    No Known Activations