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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. 5916
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    INDEX
    Explanations

    phrases with contradictions or exceptions

    oai_token-act-pair · gpt-3.5-turbo

    negative qualifiers that suggest contrasting or opposing views

    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
    tein
    -0.87
    rift
    -0.78
    arten
    -0.76
    aley
    -0.71
    ixel
    -0.68
    unks
    -0.67
    ãĤ·ãĥ£
    -0.65
    aston
    -0.65
    ussie
    -0.65
    ijk
    -0.64
    POSITIVE LOGITS
     necessarily
    1.52
    etheless
    1.05
    icable
    1.02
    icably
    0.98
     enough
    0.91
    withstanding
    0.87
    eworthy
    0.86
     anymore
    0.85
    cially
    0.83
    epad
    0.82
    Activations Density 0.053%

    No Known Activations