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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. 11-RES-JB
    11. 12118
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    INDEX
    Explanations

    pronouns and verbs related to actions or positions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and the involvement of groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rupted
    -0.66
     Loading
    -0.64
    breaking
    -0.62
    opathy
    -0.60
    Ô
    -0.59
    upt
    -0.57
    ricular
    -0.56
    Products
    -0.56
     Domain
    -0.56
    rouse
    -0.55
    POSITIVE LOGITS
     both
    1.75
     each
    1.59
     respectively
    1.56
     all
    1.50
    both
    1.45
     jointly
    1.40
     mutually
    1.26
     Both
    1.25
    each
    1.24
     collectively
    1.24
    Activations Density 0.490%

    No Known Activations