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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. 8-RES-JB
    11. 7900
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    Explanations

    verbs related to the action of bringing something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dating
    -0.82
    livious
    -0.79
    schild
    -0.73
     Skydragon
    -0.70
    imon
    -0.66
    isoft
    -0.66
    hap
    -0.66
    grading
    -0.64
    codes
    -0.64
    burst
    -0.63
    POSITIVE LOGITS
     forth
    1.22
     forward
    0.89
     home
    0.78
     together
    0.76
     up
    0.75
    owship
    0.75
     hither
    0.73
     ashore
    0.72
    unity
    0.71
    endum
    0.69
    Activations Density 0.046%

    No Known Activations