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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. 19473
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    Explanations

    phrases related to identification or pinpointing a specific item or location

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "identify" and its related concepts

    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
    otiation
    -0.69
    VERTISEMENT
    -0.68
    fortune
    -0.66
    pires
    -0.66
    lance
    -0.65
     reckoning
    -0.64
    uploads
    -0.64
    advertising
    -0.63
    estate
    -0.63
     childbirth
    -0.63
    POSITIVE LOGITS
     culprit
    1.41
     weaknesses
    1.00
     flaws
    0.94
     perpetrators
    0.92
     perpetrator
    0.91
     flaw
    0.86
     vulnerabilities
    0.85
     nearest
    0.85
     landmarks
    0.85
     sender
    0.81
    Activations Density 0.404%

    No Known Activations