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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. 6155
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    INDEX
    Explanations

    phrases related to dedication or strong promises

    oai_token-act-pair · gpt-3.5-turbo

    expressions of commitment

    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
    adish
    -0.75
    phe
    -0.68
    asus
    -0.66
    Ļ½
    -0.66
    NetMessage
    -0.64
    pmwiki
    -0.63
    fare
    -0.60
    oping
    -0.60
     complexion
    -0.60
    annis
    -0.59
    POSITIVE LOGITS
     allegiance
    0.99
     commitment
    0.97
     to
    0.90
     commitments
    0.84
    ment
    0.81
     towards
    0.80
     thereto
    0.79
     pledges
    0.77
     toward
    0.76
     pledge
    0.75
    Activations Density 0.056%

    No Known Activations