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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. 3-RES-JB
    11. 21115
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    INDEX
    Explanations

    phrases related to confrontation or interaction in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    constructions that indicate responsibility or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Avg
    -0.66
     Wag
    -0.60
    mare
    -0.58
    atto
    -0.56
     commanded
    -0.56
     Tra
    -0.56
    pu
    -0.55
     Cascade
    -0.54
     POLITICO
    -0.54
     plotted
    -0.54
    POSITIVE LOGITS
    ISE
    0.66
    ONES
    0.60
     Credits
    0.59
     parity
    0.58
    ALSE
    0.57
     reckon
    0.56
    VIDIA
    0.56
    Aid
    0.56
    enance
    0.55
     acquaintance
    0.55
    Activations Density 0.673%

    No Known Activations