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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. 12320
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    INDEX
    Explanations

    mentions of negative consequences or criticism

    oai_token-act-pair · gpt-3.5-turbo

    initials or single letters that likely represent names or entities

    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
     AAA
    -0.80
     Cerberus
    -0.79
     Atom
    -0.72
     Corvette
    -0.70
     Carnival
    -0.68
     Apex
    -0.68
     Rampage
    -0.67
     Ribbon
    -0.66
     crappy
    -0.66
     fame
    -0.64
    POSITIVE LOGITS
    iannopoulos
    1.17
    anson
    1.08
    uterte
    1.07
    arnaev
    1.05
    anyahu
    1.03
    augh
    1.03
    yss
    1.03
    adh
    1.02
    alin
    1.02
    avin
    1.02
    Activations Density 0.168%

    No Known Activations