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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. 8-RES-JB
    11. 8306
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     correct
    -0.64
    Catalog
    -0.63
    ollah
    -0.61
     favourable
    -0.60
     HIGH
    -0.59
     massage
    -0.57
    uana
    -0.56
    rouse
    -0.56
    POL
    -0.56
     Sens
    -0.56
    POSITIVE LOGITS
     altogether
    1.01
     abruptly
    0.92
    tering
    0.83
    untled
    0.83
     prematurely
    0.82
     amid
    0.78
     intest
    0.76
    stadt
    0.76
     due
    0.74
     owing
    0.74
    Activations Density 0.337%

    No Known Activations