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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. 6-RES-JB
    11. 14505
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    INDEX
    Explanations

    phrases related to actions involving bringing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bring" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.85
    livious
    -0.82
    dating
    -0.79
    codes
    -0.72
    uchs
    -0.70
    grading
    -0.68
    uary
    -0.67
    Downloadha
    -0.67
    doms
    -0.67
     Lumpur
    -0.65
    POSITIVE LOGITS
     forth
    1.15
     forward
    0.88
     together
    0.78
     up
    0.76
    endum
    0.74
    bring
    0.71
     hither
    0.69
     home
    0.68
     ashore
    0.68
     attention
    0.68
    Activations Density 0.041%

    No Known Activations