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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. 7010
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    Explanations

    phrases related to ensuring or confirming something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the presence or necessity of something

    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
    etting
    -0.71
    iddle
    -0.67
    oshi
    -0.66
    alias
    -0.64
    hal
    -0.64
    orbit
    -0.63
    itching
    -0.62
    culation
    -0.60
    pine
    -0.59
    andering
    -0.58
    POSITIVE LOGITS
     enough
    1.23
     sufficient
    1.23
     plenty
    1.18
     ample
    1.18
     adequate
    1.17
    enough
    1.13
     access
    1.11
     confidence
    1.06
     patience
    1.05
     something
    1.05
    Activations Density 0.242%

    No Known Activations