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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
    11. 5340
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    Explanations

    sentences that emphasize the importance or significance of certain events, actions, or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that explain reasons or causes for importance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ascus
    -0.66
    lez
    -0.65
     tyr
    -0.65
     suspic
    -0.63
    èª
    -0.63
    IBLE
    -0.63
    fml
    -0.63
    agin
    -0.61
    inis
    -0.60
    sc
    -0.60
    POSITIVE LOGITS
     unlike
    0.86
     "[
    0.68
     many
    0.67
     Firstly
    0.67
    ecause
    0.66
     successive
    0.66
     although
    0.66
    trak
    0.65
     they
    0.65
     it
    0.64
    Activations Density 0.178%

    No Known Activations