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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. 1822
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    Explanations

    proper nouns or specific names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "called" in various contexts

    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
    edia
    -0.84
    olitics
    -0.75
    bilt
    -0.71
    inth
    -0.66
    Leaks
    -0.65
    feat
    -0.63
    isode
    -0.63
    SPONSORED
    -0.62
    isman
    -0.62
    _-
    -0.61
    POSITIVE LOGITS
    @#&
    0.68
     '
    0.66
     forth
    0.65
     upon
    0.62
     `
    0.61
    phas
    0.61
     attention
    0.60
     "
    0.60
     ''
    0.59
     disorderly
    0.59
    Activations Density 0.063%

    No Known Activations