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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. 7-RES-JB
    11. 9750
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    INDEX
    Explanations

    adjectives and adverbs expressing certainty or importance

    oai_token-act-pair · gpt-3.5-turbo

    negative or questioning phrases related to societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggle
    -0.78
    ilege
    -0.64
    dule
    -0.64
    otonin
    -0.63
    oths
    -0.61
    earch
    -0.61
    rio
    -0.60
    different
    -0.60
    bernatorial
    -0.59
    efer
    -0.59
    POSITIVE LOGITS
     notwithstanding
    0.88
     preferring
    0.65
    nown
    0.65
     skipping
    0.55
     alike
    0.55
     respectively
    0.55
     included
    0.54
    fortunately
    0.53
     permitting
    0.52
     yours
    0.51
    Activations Density 0.908%

    No Known Activations