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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. 9-RES-JB
    11. 7072
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    Explanations

    phrases related to extension or continuation of a certain theme or idea

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to affirmations and extensions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Cups
    -0.68
    asions
    -0.64
     transitions
    -0.63
     Famous
    -0.62
     stadiums
    -0.61
     Elements
    -0.60
    İĭ
    -0.59
    ancies
    -0.58
     Regions
    -0.57
     Languages
    -0.57
    POSITIVE LOGITS
     reminder
    0.90
     attempt
    0.82
     acknowledgment
    0.80
     unto
    0.73
     reflection
    0.73
     thereof
    0.73
     culmination
    0.72
    lude
    0.72
     aimed
    0.71
     homage
    0.71
    Activations Density 0.214%

    No Known Activations