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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. 19912
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    Explanations

    verbs related to ongoing or potential actions

    oai_token-act-pair · gpt-3.5-turbo

    actions and conditions related to decision-making or consequences

    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
    -0.71
    NetMessage
    -0.64
    "]=>
    -0.60
    mobi
    -0.60
    Austral
    -0.60
     largeDownload
    -0.60
    ÃįÃį
    -0.60
    uckland
    -0.60
    Rod
    -0.59
    quartered
    -0.59
    POSITIVE LOGITS
     somehow
    0.84
     succeeds
    0.80
     sufficiently
    0.77
     succeed
    0.77
     fails
    0.75
     properly
    0.73
     someday
    0.70
     weren
    0.69
     anything
    0.69
     eq
    0.68
    Activations Density 0.637%

    No Known Activations