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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. 7-RES-JB
    11. 17129
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    INDEX
    Explanations

    mentions of events or milestones

    oai_token-act-pair · gpt-3.5-turbo

    references to events and inventions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     challeng
    -0.73
    BILITIES
    -0.71
     Abedin
    -0.66
    BILITY
    -0.66
     cumbers
    -0.65
     dramas
    -0.64
    ©¶æ
    -0.62
     modem
    -0.60
     exha
    -0.60
     Goo
    -0.59
    POSITIVE LOGITS
    eenth
    1.14
    een
    1.12
    angular
    1.01
    arget
    0.98
    inent
    0.97
    urous
    0.97
    ures
    0.93
    opia
    0.91
    ured
    0.91
    orial
    0.90
    Activations Density 0.085%

    No Known Activations