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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. 6-RES-JB
    11. 833
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    Explanations

    ment of entities or concepts occurring outside of a specific context

    oai_token-act-pair · gpt-3.5-turbo

    references to entities or topics related to locations or external contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.84
    _-_
    -0.73
    CVE
    -0.70
     sqor
    -0.67
     Tycoon
    -0.65
    MpServer
    -0.63
    eny
    -0.63
     +#
    -0.62
     WATCHED
    -0.61
     Sorce
    -0.61
    POSITIVE LOGITS
     bounds
    1.12
     borders
    0.95
     boundaries
    0.92
     confines
    0.87
     limits
    0.84
     Borders
    0.82
     scope
    0.81
    box
    0.79
    circle
    0.75
     Bound
    0.75
    Activations Density 0.069%

    No Known Activations