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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. 5292
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    Explanations

    phrases related to emotional intensity and societal issues

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions that indicate connection or inclusion in a narrative

    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
    ļéĨĴ
    -0.88
    Saharan
    -0.74
    zan
    -0.73
    Lago
    -0.72
    Newsletter
    -0.71
    thood
    -0.69
    Wire
    -0.69
    istant
    -0.67
    REM
    -0.66
    :'
    -0.65
    POSITIVE LOGITS
     majesty
    0.99
     antics
    0.99
     complexities
    0.93
     intric
    0.92
     brilliance
    0.88
     plight
    0.88
     virtues
    0.88
     guts
    0.87
     sacrifices
    0.87
     ethos
    0.86
    Activations Density 0.215%

    No Known Activations