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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. 4-RES-JB
    6. 305
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    Explanations

    titles, actions, and verbs associated with descriptions of past events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence of something or the state of occurrences

    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
    buster
    -0.83
    gypt
    -0.79
     Niet
    -0.64
    CTV
    -0.59
    RM
    -0.59
     Horror
    -0.59
     Bomb
    -0.58
     Nightmare
    -0.58
    thood
    -0.57
     remotely
    -0.56
    POSITIVE LOGITS
     plenty
    0.94
     lots
    0.78
     occasions
    0.72
     overlap
    0.67
    everal
    0.66
     loopholes
    0.65
     differences
    0.64
    aido
    0.64
    ample
    0.64
     ample
    0.63
    Activations Density 0.186%

    No Known Activations