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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. 9-RES-JB
    11. 16451
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    Explanations

    terms related to solicitation or elicitation, whether positive or negative

    oai_token-act-pair · gpt-3.5-turbo

    terms related to solicitation and legal requests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Accuracy
    -0.65
     disson
    -0.63
     anat
    -0.62
     abundantly
    -0.61
     Omn
    -0.61
     ups
    -0.61
     Limits
    -0.59
     Errors
    -0.59
     lapse
    -0.59
     inaccur
    -0.58
    POSITIVE LOGITS
    iting
    1.64
    ited
    1.57
    itors
    1.26
    ks
    1.24
    its
    1.23
    ctions
    1.21
    itable
    1.21
    isons
    1.20
    ison
    1.19
    king
    1.17
    Activations Density 0.141%

    No Known Activations