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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. 2049
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    Explanations

    words associated with emphasis or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the intensifier "quite" in various contexts

    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
    venant
    -0.93
    ultimate
    -0.71
    Journal
    -0.70
    mails
    -0.70
    abolic
    -0.70
    ulators
    -0.69
    SHIP
    -0.69
    ults
    -0.67
    Reviewer
    -0.65
    PLIED
    -0.65
    POSITIVE LOGITS
     tast
    0.82
     muddy
    0.79
    entimes
    0.75
     spoil
    0.75
    \\\\\\\\\\\\\\\\
    0.75
    Quite
    0.74
     quite
    0.74
     hay
    0.72
    quite
    0.70
     alright
    0.69
    Activations Density 0.018%

    No Known Activations