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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 16
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of defensive tackles in sports contexts

    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
    ocene
    -1.03
     [|
    -0.84
    Magikarp
    -0.77
    Scotland
    -0.75
    taboola
    -0.69
    toggle
    -0.68
    FontSize
    -0.67
    otin
    -0.67
     actionGroup
    -0.64
    deen
    -0.63
    POSITIVE LOGITS
    uning
    0.84
    ness
    0.82
    roit
    0.82
    anish
    0.80
    uple
    0.78
     DT
    0.78
    rans
    0.76
    ions
    0.75
    ARGET
    0.75
    DT
    0.73
    Activations Density 0.007%

    No Known Activations