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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. 7-RES-JB
    11. 21705
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    Explanations

    phrases related to positive feedback or successful outcomes

    oai_token-act-pair · gpt-3.5-turbo

    positive evaluations or assessments of quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eters
    -0.74
    eter
    -0.73
    atum
    -0.71
    hip
    -0.71
    istan
    -0.70
    arine
    -0.70
    pper
    -0.70
    aryn
    -0.68
    atre
    -0.67
    emon
    -0.66
    POSITIVE LOGITS
    enough
    1.31
     luck
    0.99
     enough
    0.96
    bye
    0.94
    sword
    0.92
    luck
    0.91
     ol
    0.91
     quality
    0.91
     Samar
    0.88
     intentions
    0.87
    Activations Density 0.080%

    No Known Activations