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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. 7450
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    Explanations

    terms related to hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to hypothetical scenarios and analogies

    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
     largeDownload
    -0.90
    orie
    -0.85
    hani
    -0.85
    hips
    -0.80
    ledge
    -0.76
    rix
    -0.72
    estation
    -0.72
    ickers
    -0.72
    itte
    -0.72
    education
    -0.71
    POSITIVE LOGITS
     hypot
    1.12
     hypothetical
    0.84
     Heller
    0.78
     feas
    0.75
     Takeru
    0.69
     Newtown
    0.69
    hetically
    0.68
     plat
    0.66
     aval
    0.65
    izons
    0.64
    Activations Density 0.012%

    No Known Activations