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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. 11-RES-JB
    11. 5628
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    INDEX
    Explanations

    positive descriptions or praises related to performance or abilities

    oai_token-act-pair · gpt-3.5-turbo

    assessments of performance and effectiveness in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Declaration
    -0.67
     Lifetime
    -0.66
    Asia
    -0.62
     Journals
    -0.62
    reement
    -0.60
     Quran
    -0.59
    DragonMagazine
    -0.59
    tan
    -0.58
    uminati
    -0.58
    OPLE
    -0.56
    POSITIVE LOGITS
     offensively
    1.77
     defensively
    1.71
     athlet
    1.23
     against
    1.11
     territ
    1.06
     throughout
    1.02
     shorth
    0.98
     heading
    0.98
     finishing
    0.95
     scoring
    0.92
    Activations Density 0.292%

    No Known Activations