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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. 4-RES-JB
    11. 19059
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to snacks and snack-related concepts

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

    No Comments

    Negative Logits
    axies
    -0.84
    teness
    -0.83
    govtrack
    -0.72
    clerosis
    -0.70
    urat
    -0.69
    ocal
    -0.69
    idency
    -0.68
    ophy
    -0.68
    pert
    -0.67
    izons
    -0.66
    POSITIVE LOGITS
    washer
    0.76
    oken
    0.76
    pter
    0.65
    arro
    0.63
    aeper
    0.62
     Array
    0.62
     grappling
    0.62
     dehyd
    0.60
    river
    0.60
    yrinth
    0.60
    Activations Density 0.029%

    No Known Activations