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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. 11205
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     tears
    -0.94
     starters
    -0.70
     Bees
    -0.69
     highlights
    -0.68
     oranges
    -0.68
     counselors
    -0.65
     windows
    -0.64
     bows
    -0.64
     tamp
    -0.63
     Secrets
    -0.63
    POSITIVE LOGITS
    albeit
    1.58
    non
    1.35
    sic
    1.34
    yet
    1.31
    possibly
    1.10
    rather
    1.07
    but
    1.05
    literally
    1.03
    anti
    1.03
    sometimes
    1.02
    Activations Density 0.075%

    No Known Activations