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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. 13980
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    Explanations

    phrases related to descriptions or characteristics of things

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and."

    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
    case
    -0.70
    Shut
    -0.68
    zip
    -0.68
    pee
    -0.67
    ASH
    -0.66
    uct
    -0.65
    uta
    -0.65
    IRT
    -0.63
    hill
    -0.62
    IR
    -0.60
    POSITIVE LOGITS
     hence
    1.27
     consequently
    1.24
     therefore
    1.21
     thus
    1.16
     moreover
    1.14
     furthermore
    1.08
     although
    0.99
     doubtless
    0.96
     rightfully
    0.90
     deserves
    0.90
    Activations Density 0.315%

    No Known Activations