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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. 8925
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    Explanations

    verbs related to making a decision or forming an opinion or judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conclusions or final assessments

    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
    dos
    -0.75
    elight
    -0.73
    href
    -0.71
    tan
    -0.69
    otin
    -0.68
    eni
    -0.67
    enta
    -0.64
    arta
    -0.63
    maid
    -0.62
    ede
    -0.60
    POSITIVE LOGITS
    itutes
    0.77
    igm
    0.75
    uations
    0.74
    ãĤ¤ãĥĪ
    0.74
     concluding
    0.73
    itute
    0.72
    ĵĺ
    0.72
    anguage
    0.69
     ($)
    0.65
    anced
    0.65
    Activations Density 0.028%

    No Known Activations