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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    mentions of the specific name "Chan" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Chan" and references to jewelry

    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
    AAF
    -0.71
    XM
    -0.71
     Kinn
    -0.71
     Conservative
    -0.70
     Pend
    -0.69
     Premiership
    -0.65
    OAD
    -0.64
    Upgrade
    -0.63
     Manit
    -0.62
    avez
    -0.60
    POSITIVE LOGITS
    ellery
    1.26
    eller
    1.01
    ning
    1.00
    istry
    0.93
    unci
    0.92
    SHIP
    0.90
    eful
    0.90
    elist
    0.88
    elled
    0.88
    eling
    0.87
    Activations Density 0.121%

    No Known Activations