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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. 9-RES-JB
    11. 15624
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    INDEX
    Explanations

    expressions related to expectations or predictions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of expectation or assumptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jab
    -0.78
    rawdownloadcloneembedreportprint
    -0.70
    chin
    -0.69
    uesday
    -0.66
    ftime
    -0.64
    rio
    -0.63
    ifax
    -0.62
    wings
    -0.62
    fake
    -0.59
    eon
    -0.59
    POSITIVE LOGITS
     logically
    0.82
     Wouldn
    0.75
     would
    0.73
     prudent
    0.73
     logical
    0.71
     wouldn
    0.69
     someone
    0.69
    DragonMagazine
    0.68
     ideally
    0.66
     sensible
    0.64
    Activations Density 0.285%

    No Known Activations