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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. 839
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    INDEX
    Explanations

    the word "why" within sentences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of curiosity and questioning

    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
    alysed
    -0.68
    mouth
    -0.63
    catentry
    -0.63
    apsed
    -0.61
    umen
    -0.60
    osi
    -0.60
     shown
    -0.59
    ritical
    -0.58
    iege
    -0.58
    ipment
    -0.57
    POSITIVE LOGITS
     coincidence
    0.74
     misunder
    0.73
     why
    0.71
     millenn
    0.70
    assetsadobe
    0.69
    why
    0.66
     Puzz
    0.66
     discrepancies
    0.66
     inconsistencies
    0.66
     possibilities
    0.65
    Activations Density 0.093%

    No Known Activations