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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. 4490
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    Explanations

    phrases indicating a call for action or decision

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "call on" in various contexts

    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
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    Negative Logits
    ©¶æ¥µ
    -0.88
     âī¡
    -0.75
     âĶľâĶĢâĶĢ
    -0.66
     LX
    -0.65
    VERTISEMENT
    -0.65
    gaard
    -0.63
    SF
    -0.62
     Pend
    -0.62
    ynski
    -0.61
     Ãľ
    -0.59
    POSITIVE LOGITS
    erous
    1.09
     behalf
    1.05
    shore
    0.89
    unal
    0.81
    rison
    0.73
    ariat
    0.69
    etime
    0.69
    itored
    0.68
    sighted
    0.67
     Saturday
    0.67
    Activations Density 0.028%

    No Known Activations