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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. 5115
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    Explanations

    strings related to hypothetical scenarios and consequences

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases and uncertainty

    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
    soever
    -0.83
    agos
    -0.82
     secondly
    -0.71
    ãĥ©ãĥ³
    -0.68
    ãģ®éŃĶ
    -0.66
    milo
    -0.65
    upon
    -0.63
    URA
    -0.63
    ardless
    -0.61
    ahar
    -0.61
    POSITIVE LOGITS
     confusing
    0.99
     intimidating
    0.82
     enough
    0.79
     your
    0.79
     unfamiliar
    0.76
     rusty
    0.76
     sounds
    0.75
     helpful
    0.74
     daunting
    0.73
     dull
    0.73
    Activations Density 0.155%

    No Known Activations