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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. 6-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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.77
     destro
    -0.71
    cale
    -0.70
     challeng
    -0.68
    everal
    -0.67
     neighb
    -0.63
    farious
    -0.62
    erenn
    -0.61
    omething
    -0.61
    ighter
    -0.61
    POSITIVE LOGITS
     âĵĺ
    0.60
    resses
    0.58
    lessly
    0.57
     returns
    0.57
     awaits
    0.57
    ages
    0.55
     Slav
    0.54
    iop
    0.54
    isms
    0.54
     hunters
    0.54
    Activations Density 0.404%

    No Known Activations