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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. 5657
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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 @ 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
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    No Comments

    Negative Logits
    vous
    -0.76
    vernment
    -0.71
    spective
    -0.70
    hibition
    -0.70
    ceed
    -0.69
     rgb
    -0.66
    ds
    -0.65
    ingu
    -0.62
    venant
    -0.62
    cerning
    -0.61
    POSITIVE LOGITS
    olia
    1.00
    ername
    0.90
    hran
    0.81
    avia
    0.78
    retched
    0.75
    amen
    0.74
    gerald
    0.72
    rex
    0.72
    asia
    0.71
    ahon
    0.71
    Activations Density 0.101%

    No Known Activations