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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. 18541
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    Explanations

    phrases indicating a cause-and-effect relationship

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating outcomes or consequences

    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
    crow
    -0.65
    tsky
    -0.65
    fil
    -0.61
     substr
    -0.61
    edo
    -0.59
     Neighbor
    -0.59
    parent
    -0.58
    pe
    -0.58
    kov
    -0.58
     parent
    -0.58
    POSITIVE LOGITS
    antly
    0.86
    aneously
    0.80
    inally
    0.78
    âĹ¼
    0.73
    INAL
    0.73
    ĸļ
    0.73
    ively
    0.72
    ENCY
    0.70
    ivating
    0.68
    UE
    0.67
    Activations Density 0.043%

    No Known Activations