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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. 15054
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    Explanations

    references to competitive events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various 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
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    No Comments

    Negative Logits
    erest
    -0.80
    ahon
    -0.77
    stones
    -0.76
    stocks
    -0.68
    ignt
    -0.68
    haul
    -0.67
    omatic
    -0.67
    olia
    -0.66
    aida
    -0.66
    vest
    -0.65
    POSITIVE LOGITS
    eers
    0.82
     competition
    0.75
     winners
    0.74
     contestant
    0.71
     entrants
    0.71
     solicitation
    0.70
     winner
    0.70
     arena
    0.69
     vying
    0.69
     athlet
    0.69
    Activations Density 0.020%

    No Known Activations