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    1. Home
    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. 23902
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    INDEX
    Explanations

    mentions of abstract or intangible concepts, particularly related to events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of affairs or situations

    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
    gee
    -0.81
    bern
    -0.77
    ISSION
    -0.65
    iary
    -0.64
    adia
    -0.63
    CHR
    -0.62
    AND
    -0.62
    sts
    -0.61
    STER
    -0.61
    pless
    -0.61
    POSITIVE LOGITS
     happened
    0.95
     happening
    0.95
     happen
    0.93
     happ
    0.85
     transpired
    0.84
     happens
    0.81
     toget
    0.75
     pertaining
    0.75
     Happ
    0.75
    afety
    0.74
    Activations Density 0.039%

    No Known Activations