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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. 12481
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    INDEX
    Explanations

    phrases related to successful completion or achievement of tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating successful actions or achievements

    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
     Respons
    -0.73
    soever
    -0.73
     Actions
    -0.68
     duties
    -0.66
     Continued
    -0.66
    acted
    -0.64
    Next
    -0.64
     Relief
    -0.63
    Sold
    -0.63
     opin
    -0.62
    POSITIVE LOGITS
     convince
    1.41
     achieve
    1.25
     overcome
    1.22
     accomplish
    1.22
     persuade
    1.21
     snag
    1.20
     infiltrate
    1.20
     evade
    1.19
     survive
    1.18
     muster
    1.14
    Activations Density 0.108%

    No Known Activations