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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. 1-RES-JB
    11. 22083
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    Explanations

    terms related to prototyping and funeral

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prototyping and specific types of ceremonies or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    waters
    -0.77
     doi
    -0.73
    vation
    -0.72
    phone
    -0.66
     ranks
    -0.64
    frog
    -0.63
    water
    -0.62
    ords
    -0.61
     Olsen
    -0.59
    light
    -0.58
    POSITIVE LOGITS
    otyp
    0.96
     prototyp
    0.96
    als
    0.90
    alth
    0.89
    TPPStreamerBot
    0.88
    al
    0.88
    ally
    0.87
    ese
    0.85
    raq
    0.85
    egu
    0.84
    Activations Density 0.034%

    No Known Activations