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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
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    Explanations

    expressions of strong emotion or sentiment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong positive emotions or feelings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ansas
    -0.79
    heid
    -0.78
    antry
    -0.71
    icipated
    -0.70
    allas
    -0.69
    tein
    -0.68
    enary
    -0.68
    ucky
    -0.65
    oire
    -0.65
    throp
    -0.65
    POSITIVE LOGITS
     darn
    0.86
     appreciated
    0.82
    ignment
    0.76
     bothered
    0.74
    FTWARE
    0.74
     distressed
    0.73
     appreciate
    0.73
     needed
    0.72
     differentiated
    0.71
     liked
    0.71
    Activations Density 0.043%

    No Known Activations