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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. 0-RES-JB
    11. 6754
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    INDEX
    Explanations

    positive descriptions or exclamations

    oai_token-act-pair · gpt-3.5-turbo

    terms expressing excitement or positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Telephone
    -0.71
     Securities
    -0.70
     Reform
    -0.67
    court
    -0.67
    ioned
    -0.66
    hal
    -0.65
     claimants
    -0.65
    chens
    -0.64
     plaintiff
    -0.64
    igrant
    -0.64
    POSITIVE LOGITS
     awesome
    3.13
     amazing
    2.28
     Awesome
    2.18
    Awesome
    2.14
     badass
    1.96
     fabulous
    1.92
     fantastic
    1.89
     wonderful
    1.87
     incredible
    1.84
     adorable
    1.75
    Activations Density 0.020%

    No Known Activations