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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. 8-RES-JB
    11. 5059
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    Explanations

    phrases related to sports competitions, particularly mentioning specific stages like quarterfinals

    oai_token-act-pair · gpt-3.5-turbo

    references to sports tournament stages, specifically quarter-finals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.73
     Rosenberg
    -0.67
     behalf
    -0.67
     Hope
    -0.64
     Rudd
    -0.64
    >>>>
    -0.62
    */(
    -0.60
     Gleaming
    -0.60
     antid
    -0.60
    IK
    -0.59
    POSITIVE LOGITS
    finals
    1.32
    final
    1.22
    master
    0.97
    staff
    0.93
    quarter
    0.92
    masters
    0.89
    pants
    0.87
    pipe
    0.83
    century
    0.82
    pling
    0.82
    Activations Density 0.030%

    No Known Activations