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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. 11-RES-JB
    11. 17685
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    Explanations

    phrases related to sports playoffs

    oai_token-act-pair · gpt-3.5-turbo

    references to playoffs in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yer
    -0.76
    tons
    -0.75
    asin
    -0.74
    station
    -0.74
    stra
    -0.66
    erie
    -0.65
     Anon
    -0.65
    gow
    -0.65
    rators
    -0.64
    auga
    -0.63
    POSITIVE LOGITS
     berth
    1.28
     MVP
    1.06
     semifinals
    0.94
     playoffs
    0.92
     semif
    0.89
     bye
    0.87
     bracket
    0.87
     elimination
    0.84
     playoff
    0.84
     rematch
    0.84
    Activations Density 0.047%

    No Known Activations