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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. 4137
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    Explanations

    words related to manual labor involving moving large amounts of material like shoveling, bulldozing, and using tractors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to digging and heavy equipment

    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
    cius
    -0.92
    ulet
    -0.75
    dar
    -0.73
    eworld
    -0.72
    lus
    -0.68
    ittal
    -0.67
    iments
    -0.67
    leck
    -0.66
    len
    -0.66
    ient
    -0.66
    POSITIVE LOGITS
     shovel
    1.17
     tractor
    1.02
     bulldo
    0.94
     tract
    0.89
    lift
    0.87
     labou
    0.84
     digging
    0.79
    ש
    0.79
    ×ķ
    0.78
    hoe
    0.78
    Activations Density 0.032%

    No Known Activations