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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. 4-RES-JB
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.90
    ãĥ¼ãĥĨãĤ£
    -0.81
    urers
    -0.78
    orno
    -0.78
    sonian
    -0.75
     confir
    -0.75
    hower
    -0.75
    onomy
    -0.73
    ividual
    -0.71
     sugg
    -0.70
    POSITIVE LOGITS
    ा
    1.04
    İ
    0.96
    ®
    0.93
    Ĩ
    0.88
    cffffcc
    0.88
    ر
    0.86
    ħ
    0.84
    į
    0.84
    °
    0.82
    ¦
    0.82
    Activations Density 0.006%

    No Known Activations