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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. 9180
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    Explanations

    mentions of the letter "H" at varying levels of significance

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter 'H' followed by a number

    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
     Beware
    -0.69
     Lerner
    -0.68
    EStream
    -0.66
     theirs
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
     teasing
    -0.62
     scales
    -0.62
     prob
    -0.60
    manship
    -0.60
     Jur
    -0.60
    POSITIVE LOGITS
    ottest
    1.21
    ometown
    1.21
    ISTORY
    1.19
    umble
    1.19
    ttp
    1.18
    irsch
    1.16
    anging
    1.15
    iatus
    1.12
    ype
    1.07
    aptic
    1.07
    Activations Density 0.041%

    No Known Activations