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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
    11. 16940
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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
     Balt
    -0.74
     psychiat
    -0.63
    EStream
    -0.60
    ĺħ
    -0.60
     fab
    -0.59
     elector
    -0.59
     restrained
    -0.58
     nutshell
    -0.57
     plag
    -0.57
    lvl
    -0.56
    POSITIVE LOGITS
    psons
    1.02
    fortable
    0.96
    anooga
    0.90
    lisher
    0.85
    edia
    0.83
    ptroller
    0.82
    lishing
    0.82
    pleting
    0.81
    pleted
    0.81
    lishes
    0.81
    Activations Density 0.031%

    No Known Activations