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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. 2-RES-JB
    11. 16069
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    Explanations

    words related to the process of creating digital representations or images

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "render" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Chel
    -0.78
     Cly
    -0.75
    hips
    -0.71
    overed
    -0.69
    alg
    -0.69
    FTWARE
    -0.68
     Panama
    -0.67
    swick
    -0.66
     Eisen
    -0.66
    arna
    -0.65
    POSITIVE LOGITS
     renders
    1.05
     render
    1.03
     rendered
    1.03
     rendering
    0.96
    rendered
    0.85
    ezvous
    0.81
    render
    0.80
     rall
    0.74
    miah
    0.71
    ||||
    0.69
    Activations Density 0.012%

    No Known Activations