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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 21437
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific chemical compounds or biological terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.78
    IGHTS
    -0.68
    âĸ¬
    -0.65
    CRIPTION
    -0.62
    ILLE
    -0.62
     Monstrous
    -0.60
     FANT
    -0.60
     Sins
    -0.59
    è£
    -0.58
    taboola
    -0.58
    POSITIVE LOGITS
    inion
    1.43
    yright
    1.31
    edia
    1.22
    olitan
    1.18
    rompt
    1.14
    odcast
    1.12
    arent
    1.10
    sych
    1.06
    etition
    1.05
    aque
    1.05
    Activations Density 0.019%

    No Known Activations