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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. 1-RES-JB
    11. 21078
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    INDEX
    Explanations

    proper nouns related to steel, such as "Steel" as a material or company name

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Steel" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olulu
    -0.80
    sembly
    -0.79
    ebin
    -0.73
     NCT
    -0.72
     refere
    -0.70
    itia
    -0.69
    HCR
    -0.69
    enance
    -0.68
    uate
    -0.68
    uated
    -0.67
    POSITIVE LOGITS
     Steel
    1.10
    Series
    1.05
    Steel
    0.99
     Crate
    0.93
    grass
    0.85
     Wheels
    0.83
     Dynamics
    0.79
     wool
    0.74
    Eye
    0.72
     Skies
    0.72
    Activations Density 0.009%

    No Known Activations