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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. 3783
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    Explanations

    phrases related to resources or tools being available for use or action

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "disposal" in various contexts

    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
    apa
    -0.86
    hemat
    -0.84
    acca
    -0.77
    inx
    -0.74
    hips
    -0.74
    sky
    -0.74
    mpeg
    -0.74
     Born
    -0.73
    haw
    -0.71
    itudes
    -0.71
    POSITIVE LOGITS
     disposal
    1.23
    ptions
    0.93
    ption
    0.86
     dispos
    0.81
     dispose
    0.80
     fluids
    0.80
    ptives
    0.78
    ptive
    0.77
    Mania
    0.72
    iver
    0.72
    Activations Density 0.008%

    No Known Activations