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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. 17454
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    INDEX
    Explanations

    phrases related to the reason behind actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical or factual elements

    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
    Desk
    -0.74
    iband
    -0.74
     thereafter
    -0.72
    dig
    -0.70
    scribe
    -0.69
    boarding
    -0.69
    arten
    -0.68
    ifies
    -0.68
    ateurs
    -0.67
    wark
    -0.64
    POSITIVE LOGITS
     cumbers
    1.21
     nature
    1.17
     sheer
    1.12
     severity
    1.12
     lack
    1.09
     complexities
    1.06
     prevalence
    1.05
     fact
    1.05
     complexity
    1.03
     rarity
    1.03
    Activations Density 0.201%

    No Known Activations