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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. 7-RES-JB
    11. 23795
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    Explanations

    phrases related to rejection or refusal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decisions or proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Travels
    -0.74
    ukong
    -0.74
     Refuge
    -0.66
     Transparency
    -0.61
     Transgender
    -0.60
     Poverty
    -0.60
    ructose
    -0.59
    urches
    -0.59
     Highlights
    -0.59
     SHARES
    -0.57
    POSITIVE LOGITS
     nonetheless
    1.20
     nevertheless
    0.98
    etheless
    0.78
     thereto
    0.73
     retained
    0.71
     afterward
    0.69
    ).[
    0.67
     afterwards
    0.67
     suffice
    0.67
     thereafter
    0.65
    Activations Density 1.335%

    No Known Activations