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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. 7446
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    Explanations

    sections of text discussing numerical values or parameters within a technical context

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and their usage in 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
    ľ
    -0.68
    ghost
    -0.68
     importantly
    -0.66
    HAEL
    -0.66
    NOW
    -0.65
    ibur
    -0.65
    guy
    -0.64
    ickr
    -0.62
    hur
    -0.62
    ides
    -0.61
    POSITIVE LOGITS
     parentheses
    1.56
     accordance
    1.43
     lieu
    1.32
     brackets
    1.28
    versely
    1.23
     relation
    1.21
     terms
    1.10
     descending
    1.07
     conjunction
    1.06
     increments
    1.06
    Activations Density 0.178%

    No Known Activations