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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. 9-RES-JB
    11. 22678
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    Explanations

    settings related keywords

    oai_token-act-pair · gpt-3.5-turbo

    references to settings and configurations within a digital context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ible
    -0.88
    INESS
    -0.82
    nesses
    -0.76
    sylvania
    -0.76
    iversary
    -0.73
    amel
    -0.72
    SHIP
    -0.72
    past
    -0.71
    女
    -0.71
    ortun
    -0.71
    POSITIVE LOGITS
     ups
    0.74
    finder
    0.70
    ter
    0.70
    creen
    0.68
     conducive
    0.66
     knob
    0.65
    bell
    0.64
     menu
    0.63
     aside
    0.63
     sun
    0.61
    Activations Density 0.049%

    No Known Activations