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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. 1-RES-JB
    11. 7264
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    INDEX
    Explanations

    verbs related to peeling or removing something

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related actions, particularly those involving peeling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umble
    -0.87
    illing
    -0.75
    acts
    -0.74
    rio
    -0.73
    ired
    -0.73
    ires
    -0.69
    founded
    -0.68
    attribute
    -0.67
    Saharan
    -0.67
    sky
    -0.66
    POSITIVE LOGITS
     peel
    1.33
    utical
    1.14
     peeled
    1.09
    isode
    0.94
     Peel
    0.89
    utics
    0.86
    utic
    0.84
    staking
    0.73
     tiss
    0.72
    arthed
    0.72
    Activations Density 0.011%

    No Known Activations