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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. 11609
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    Explanations

    mentions of lodging accommodations or venues

    oai_token-act-pair · gpt-3.5-turbo

    references to lodging and accommodations in various 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
    onson
    -0.76
    ļéĨĴ
    -0.75
    ONSORED
    -0.74
    ĺħ
    -0.70
    azeera
    -0.69
    hemy
    -0.69
    oleon
    -0.69
    imity
    -0.68
    rade
    -0.68
    urned
    -0.67
    POSITIVE LOGITS
    pole
    1.40
    ptin
    0.91
    atable
    0.85
    owship
    0.81
    risome
    0.79
    olkien
    0.74
    holders
    0.74
    lor
    0.71
    estone
    0.68
    ener
    0.66
    Activations Density 0.062%

    No Known Activations