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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. 3593
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    Explanations

    technical and detailed descriptions of processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processes and assessments in various contexts

    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
    erity
    -0.68
    etsk
    -0.67
    usalem
    -0.63
    cipled
    -0.63
    ushes
    -0.62
    itech
    -0.62
    tainment
    -0.62
    uffed
    -0.61
    oppers
    -0.60
    apego
    -0.60
    POSITIVE LOGITS
     varies
    1.05
     depends
    1.03
     itself
    0.88
     versus
    0.82
     compared
    0.82
     depended
    0.80
     vary
    0.80
     differs
    0.76
     differ
    0.73
    Reviewer
    0.71
    Activations Density 0.495%

    No Known Activations