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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. 7-RES-JB
    11. 14298
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    Explanations

    historical events, records, or significant moments

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouk
    -0.76
    amina
    -0.72
    ya
    -0.71
    wi
    -0.67
    nington
    -0.67
    ikh
    -0.65
    yang
    -0.65
    illusion
    -0.64
    env
    -0.63
    orney
    -0.63
    POSITIVE LOGITS
    arily
    0.97
     buffs
    0.75
     trilogy
    0.66
     eras
    0.65
     repeats
    0.65
    orians
    0.65
     record
    0.65
     records
    0.65
     spanning
    0.65
     collide
    0.64
    Activations Density 0.022%

    No Known Activations