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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18674
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    INDEX
    Explanations

    proper nouns related to media and entertainment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Kotaku."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.01
     tremend
    -0.79
     confir
    -0.76
    mble
    -0.75
    utherford
    -0.74
     therap
    -0.74
    IBLE
    -0.71
     livest
    -0.71
    byss
    -0.70
    ioxide
    -0.70
    POSITIVE LOGITS
    zeb
    1.22
     Kot
    0.99
    lin
    0.90
    zen
    0.87
    aku
    0.86
    arel
    0.85
    zon
    0.84
    zn
    0.84
    zin
    0.84
    oya
    0.82
    Activations Density 0.008%

    No Known Activations