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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. 6544
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    INDEX
    Explanations

    phrases related to fitting or being appropriate for a certain context

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating suitability or fitting within a context

    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
    icides
    -0.78
     withheld
    -0.73
    umatic
    -0.66
    vernment
    -0.64
    ewitness
    -0.63
    icide
    -0.62
     collisions
    -0.61
    coins
    -0.61
    pring
    -0.60
     withhold
    -0.60
    POSITIVE LOGITS
     criteria
    1.25
     mold
    1.18
     description
    1.13
     mould
    1.12
     stereotype
    1.10
     archetype
    1.05
     definition
    1.04
     profile
    1.00
     precon
    0.99
     category
    0.96
    Activations Density 0.168%

    No Known Activations