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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. 5252
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    INDEX
    Explanations

    mentions of notable achievements or recognition, possibly related to awards, nominations, or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of financial success and significant events related to investments

    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
     afterward
    -0.92
    —"
    -0.86
     anyway
    -0.81
     aides
    -0.80
    toggle
    -0.76
     apiece
    -0.76
     nonetheless
    -0.74
    .)
    -0.74
    bably
    -0.72
     staffers
    -0.72
    POSITIVE LOGITS
     Whilst
    1.07
     UK
    0.93
     Honour
    0.89
     recognised
    0.88
     Firstly
    0.86
     whilst
    0.84
     Youtube
    0.83
     util
    0.83
     NZ
    0.82
    ´
    0.80
    Activations Density 1.383%

    No Known Activations