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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. 11-RES-JB
    11. 13854
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    Explanations

    verbs related to starting or beginning a journey or process

    oai_token-act-pair · gpt-3.5-turbo

    words related to starting or beginning a new undertaking or journey

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verbs
    -0.61
    bie
    -0.61
     Hayward
    -0.61
    imov
    -0.59
    talk
    -0.59
    roads
    -0.59
    cell
    -0.58
     Survivors
    -0.58
    acca
    -0.56
    ICE
    -0.55
    POSITIVE LOGITS
    ments
    0.91
    enance
    0.90
    entimes
    0.86
     thereof
    0.84
    tainment
    0.75
    estinal
    0.74
    ally
    0.73
     therein
    0.73
    igious
    0.72
     herein
    0.70
    Activations Density 0.602%

    No Known Activations