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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. 8-RES-JB
    11. 23555
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    Explanations

    phrases related to providing information or making statements about plans and actions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to potential or anticipated events and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inational
    -0.78
    ĸļ
    -0.72
    ¬¼
    -0.69
    ien
    -0.67
     Barney
    -0.67
     Rats
    -0.64
    Ļ½
    -0.64
    ++++
    -0.63
    ĻĤ
    -0.63
     Angus
    -0.62
    POSITIVE LOGITS
     will
    1.02
     should
    0.91
     shall
    0.91
     would
    0.90
     cannot
    0.89
     could
    0.89
     can
    0.87
     may
    0.85
     MUST
    0.85
     wills
    0.83
    Activations Density 0.204%

    No Known Activations