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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. 3-RES-JB
    11. 3017
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bane
    -0.83
    smart
    -0.80
    effects
    -0.75
    alle
    -0.75
    brance
    -0.75
    ene
    -0.75
    emen
    -0.74
    men
    -0.74
    breakers
    -0.74
    angers
    -0.73
    POSITIVE LOGITS
     embodiments
    0.92
     preferred
    0.89
     embodiment
    0.84
    ļéĨĴ
    0.76
     selection
    0.75
     viewpoints
    0.74
     ratios
    0.71
     placement
    0.71
     sticking
    0.69
     condu
    0.69
    Activations Density 0.008%

    No Known Activations