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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. 4-RES-JB
    11. 10656
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    Explanations

    statements prompting the reader to find or discover more information

    oai_token-act-pair · gpt-3.5-turbo

    phrases or calls to action related to discovery or seeking information

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

    No Comments

    Negative Logits
    pered
    -0.72
    bara
    -0.71
    perty
    -0.68
     horm
    -0.65
    mph
    -0.64
     fracturing
    -0.63
    oiler
    -0.63
    istry
    -0.63
     paced
    -0.62
    itent
    -0.61
    POSITIVE LOGITS
    imon
    0.86
    ById
    0.84
    ings
    0.78
    ãĤ¤ãĥĪ
    0.77
    iveness
    0.77
    ãĤ¿
    0.76
    ãĤ¤
    0.76
    emouth
    0.74
    uments
    0.73
     Wond
    0.71
    Activations Density 0.035%

    No Known Activations