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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. 9-RES-JB
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    Explanations

    statements expressing desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "want" related to expressing desires or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.86
    igmatic
    -0.71
    icol
    -0.71
    ework
    -0.68
    utical
    -0.67
    isine
    -0.66
    afort
    -0.66
    iste
    -0.65
    iverpool
    -0.65
    cade
    -0.65
    POSITIVE LOGITS
     anybody
    1.16
     anyone
    1.09
     anymore
    1.09
     anything
    1.05
     nor
    1.01
     any
    0.99
     congr
    0.89
     ANY
    0.86
     wasting
    0.83
     undue
    0.82
    Activations Density 0.064%

    No Known Activations