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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. 3-RES-JB
    11. 454
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    INDEX
    Explanations

    visual depictions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate representation or illustration of subjects or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zyme
    -0.81
    foreseen
    -0.68
    oner
    -0.66
    bye
    -0.66
    speak
    -0.65
    ayer
    -0.63
    duct
    -0.62
    andr
    -0.62
    ammy
    -0.61
    immune
    -0.60
    POSITIVE LOGITS
     depictions
    1.16
     depicts
    1.14
     depicting
    1.10
     portrays
    0.96
     depict
    0.93
     images
    0.92
     portraits
    0.92
     depiction
    0.92
     imagery
    0.85
     prints
    0.84
    Activations Density 0.031%

    No Known Activations