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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. 8605
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    Explanations

    phrases or questions related to uncertainties or doubts

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions and expressions of incredulity

    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
    catentry
    -0.85
     Bridge
    -0.61
     lever
    -0.61
     Topic
    -0.60
    Interstitial
    -0.60
    aeper
    -0.56
    Chair
    -0.55
    pora
    -0.55
    iple
    -0.55
     Transcript
    -0.55
    POSITIVE LOGITS
    ?!
    1.32
    ?!"
    1.30
    !?"
    1.24
    ?)
    1.22
    ?),
    1.18
    ?).
    1.18
    !?
    1.14
    ?"
    1.08
    ?
    1.08
    ??
    1.05
    Activations Density 0.163%

    No Known Activations