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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. 8-RES-JB
    11. 2256
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    Explanations

    references to specific labels, such as "Lab" and "AB", possibly related to a specific organization or entity

    oai_token-act-pair · gpt-3.5-turbo

    references to specific bills or legislative proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ochemical
    -0.72
    ancial
    -0.64
    igraph
    -0.64
    andum
    -0.63
     Shroud
    -0.62
    abilia
    -0.61
    terson
    -0.58
    apon
    -0.58
    ciation
    -0.58
    natureconservancy
    -0.57
    POSITIVE LOGITS
    yrinth
    1.52
    elled
    1.12
    orers
    0.91
    els
    0.90
    arb
    0.88
    stract
    0.85
    RIC
    0.84
    uilt
    0.82
    uria
    0.75
    RAM
    0.73
    Activations Density 0.037%

    No Known Activations