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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. 7-RES-JB
    11. 17284
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    Explanations

    mentions of specific topics or subjects within academic or research contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "the" topic or subject of discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aurus
    -0.72
    strom
    -0.70
    riott
    -0.68
    LET
    -0.66
    âĢł
    -0.65
    ãĥīãĥ©
    -0.64
    thouse
    -0.64
    fighters
    -0.64
    ngth
    -0.63
     nowhere
    -0.63
    POSITIVE LOGITS
     behalf
    1.27
     basis
    1.15
     topic
    1.10
     occasions
    1.06
     occasion
    1.06
     eve
    1.03
     merits
    0.98
     grounds
    0.96
     subject
    0.93
     sidelines
    0.91
    Activations Density 0.172%

    No Known Activations