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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. 4-RES-JB
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    Explanations

    mentions of the company "Shell"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Shell

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

    No Comments

    Negative Logits
    é¾įå
    -0.73
     ILCS
    -0.71
    Interstitial
    -0.69
    âĸĪâĸĪ
    -0.69
     WRITE
    -0.66
    ————————————————
    -0.65
    lies
    -0.65
    hered
    -0.61
    erers
    -0.60
    views
    -0.60
    POSITIVE LOGITS
    shock
    1.02
    fish
    0.85
    idon
    0.84
     Shell
    0.83
    Shock
    0.82
    shell
    0.80
     Oil
    0.74
    sten
    0.73
    Shell
    0.73
     casing
    0.70
    Activations Density 0.008%

    No Known Activations