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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. 8-RES-JB
    11. 8481
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    Explanations

    mentions of a specific location or entity labeled as "Canton" or "Cant."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Cant" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.76
    CVE
    -0.72
    ãģį
    -0.67
    ãģ®é
    -0.66
    IGHTS
    -0.64
     pseud
    -0.62
    PDATE
    -0.62
    ¯¯¯¯¯¯¯¯
    -0.62
    Reviewer
    -0.62
    TAG
    -0.61
    POSITIVE LOGITS
    rell
    1.20
    illon
    1.16
    een
    1.04
    rip
    1.00
    onal
    0.96
    alon
    0.93
    onso
    0.89
    inas
    0.89
    ones
    0.88
    aleb
    0.88
    Activations Density 0.027%

    No Known Activations