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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. 7-RES-JB
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    Explanations

    adjectives and participles that describe food preparation and cooking methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    descriptions of food preparation techniques such as steaming, braising, grating, laminating, and toasting

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.84
    CVE
    -0.83
    involved
    -0.74
    alter
    -0.69
    istries
    -0.68
    umbn
    -0.67
    DoS
    -0.66
    UFC
    -0.66
    icipated
    -0.66
    ledge
    -0.65
    POSITIVE LOGITS
    rive
    0.99
    onite
    0.91
    river
    0.91
    irect
    0.87
    ouble
    0.85
     versions
    0.85
    nesday
    0.83
    ieval
    0.81
    own
    0.79
     BY
    0.78
    Activations Density 0.251%

    No Known Activations