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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
    11. 17260
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    INDEX
    Explanations

    descriptions of interactions between different characters

    oai_token-act-pair · gpt-3.5-turbo

    narrative elements involving personal and professional interactions

    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
    notations
    -0.88
     understatement
    -0.78
    endif
    -0.72
     endif
    -0.70
     Repeat
    -0.67
     applause
    -0.67
    phabet
    -0.66
     unfocusedRange
    -0.66
     reversal
    -0.65
     offsets
    -0.65
    POSITIVE LOGITS
     stumbled
    0.98
     accidentally
    0.94
     approached
    0.90
     awoke
    0.89
     wandered
    0.87
     acquaintance
    0.83
     overheard
    0.81
     overhe
    0.80
     awakened
    0.80
     casually
    0.80
    Activations Density 0.791%

    No Known Activations