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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. 21849
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    Explanations

    mentions of injections or substances being injected

    oai_token-act-pair · gpt-3.5-turbo

    references to medical injections or the act of injecting substances

    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
    edom
    -0.76
    ģ«
    -0.72
    externalActionCode
    -0.68
    neg
    -0.68
    kept
    -0.67
    Ü
    -0.66
    kees
    -0.66
     Nanto
    -0.66
    stand
    -0.65
    fman
    -0.62
    POSITIVE LOGITS
     into
    0.93
     molded
    0.86
    aneous
    0.83
     intraven
    0.83
     INTO
    0.82
    into
    0.82
     needles
    0.76
    ibly
    0.74
     injected
    0.73
     venom
    0.72
    Activations Density 0.094%

    No Known Activations