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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. 10-RES-JB
    11. 5076
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    INDEX
    Explanations

    phrases indicating a preference or desire for a specific type of situation or behavior

    oai_token-act-pair · gpt-3.5-turbo

    comparisons to specific situations or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Published
    -0.71
    esson
    -0.71
    ourse
    -0.64
    ccording
    -0.64
    earchers
    -0.64
    esa
    -0.63
    IRD
    -0.62
    Contents
    -0.61
    ione
    -0.60
    icators
    -0.58
    POSITIVE LOGITS
     ours
    1.58
    lihood
    1.45
     hers
    1.40
     yours
    1.38
     theirs
    1.32
     mine
    1.10
    liest
    1.07
    lier
    1.06
     this
    0.98
     THIS
    0.82
    Activations Density 0.091%

    No Known Activations