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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. 605
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    INDEX
    Explanations

    phrases indicating causal relationships

    oai_token-act-pair · gpt-3.5-turbo

    instances of comma usage

    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
    interstitial
    -0.72
    ield
    -0.71
    adelphia
    -0.70
    è¦ļéĨĴ
    -0.70
    Ô
    -0.67
    externalActionCode
    -0.65
    aukee
    -0.65
    gow
    -0.64
    nexus
    -0.64
    olves
    -0.63
    POSITIVE LOGITS
     although
    0.99
     alas
    0.99
     despite
    0.88
     unlike
    0.87
     yes
    0.87
     whereas
    0.83
     contrary
    0.82
     while
    0.81
     unsurprisingly
    0.81
     according
    0.81
    Activations Density 0.085%

    No Known Activations