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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. 21355
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    INDEX
    Explanations

    numerical values and words related to quantification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that pertain to political, aesthetic, and legal justifications or reasons

    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
    berman
    -0.69
    gall
    -0.68
    former
    -0.68
    Domin
    -0.65
    xon
    -0.64
    ibr
    -0.64
    etheless
    -0.64
    anian
    -0.63
    aware
    -0.62
    onet
    -0.62
    POSITIVE LOGITS
     purposes
    2.41
     reasons
    2.15
     sake
    2.00
     purpose
    1.76
     reason
    1.59
     Reasons
    1.42
    purpose
    1.11
     convenience
    1.10
     occasions
    1.09
     Purpose
    1.09
    Activations Density 0.322%

    No Known Activations