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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. 10-RES-JB
    11. 5878
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    INDEX
    Explanations

    instances of taking responsibility and action in response to a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accountability and taking action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Favorite
    -0.81
     beck
    -0.78
    cffffcc
    -0.71
     favourite
    -0.69
     snipers
    -0.67
     monop
    -0.66
     Favorite
    -0.64
     dazz
    -0.64
     dream
    -0.64
    Untitled
    -0.63
    POSITIVE LOGITS
     apology
    1.33
     apologized
    1.33
     remorse
    1.31
     corrected
    1.28
     rect
    1.27
     apologizing
    1.24
     corrective
    1.22
     correction
    1.20
     repent
    1.19
     investigation
    1.19
    Activations Density 0.864%

    No Known Activations