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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. 14340
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    Explanations

    individuals or roles involved in a conversation or situation

    oai_token-act-pair · gpt-3.5-turbo

    names and roles of individuals 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
    berra
    -0.71
    clusive
    -0.68
    ween
    -0.67
    edIn
    -0.66
    izoph
    -0.65
     Matter
    -0.64
    ecause
    -0.63
    cale
    -0.62
    agascar
    -0.62
    elsius
    -0.61
    POSITIVE LOGITS
     insists
    0.93
     insisted
    0.92
     apologized
    0.88
     remarked
    0.87
     believes
    0.87
     opted
    0.87
     chose
    0.86
    osphere
    0.85
     wrote
    0.85
     wore
    0.85
    Activations Density 0.306%

    No Known Activations