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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. 5508
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    INDEX
    Explanations

    common adverbs and adjectives

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating frequency or commonality

    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
     Dragonbound
    -0.72
    anth
    -0.68
    udi
    -0.67
     deadline
    -0.66
     Awakens
    -0.62
    him
    -0.61
    berman
    -0.60
     Integrity
    -0.60
    letico
    -0.60
     deadlines
    -0.60
    POSITIVE LOGITS
     referred
    1.54
     viewed
    1.41
     seen
    1.40
     interpreted
    1.37
     used
    1.35
     regarded
    1.33
     cited
    1.31
     overlooked
    1.31
     construed
    1.31
     mistaken
    1.30
    Activations Density 0.119%

    No Known Activations