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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. 4-RES-JB
    11. 16575
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    Explanations

    mentions of microphones and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references and mentions of microphones

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

    No Comments

    Negative Logits
    eworld
    -0.67
    ahime
    -0.66
    lust
    -0.64
    ais
    -0.63
    ignment
    -0.63
    HCR
    -0.61
    empt
    -0.61
    swick
    -0.61
    itan
    -0.61
    wikipedia
    -0.61
    POSITIVE LOGITS
     microphones
    1.26
     microphone
    1.14
     recorder
    0.87
    HAEL
    0.83
     recordings
    0.77
     speakers
    0.77
     electrodes
    0.77
     cords
    0.75
    asonic
    0.73
     rang
    0.73
    Activations Density 0.015%

    No Known Activations