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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. 651
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    Explanations

    phrases that indicate a call to action or seeking engagement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conditional situations or hypothetical scenarios

    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
    elta
    -0.83
    vez
    -0.76
    ieved
    -0.76
    epend
    -0.75
    opter
    -0.71
    enfranch
    -0.70
    reath
    -0.69
    arling
    -0.68
    gemony
    -0.68
    pees
    -0.68
    POSITIVE LOGITS
     anyone
    0.78
     you
    0.77
     anybody
    0.74
     somebody
    0.72
     someone
    0.70
     they
    0.69
     someday
    0.69
     else
    0.68
     we
    0.66
     ever
    0.66
    Activations Density 0.023%

    No Known Activations