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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. 12-RES-JB
    6. 14658
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    INDEX
    Explanations

    action-related words such as 'walk' and 'went'

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    actions and processes related to movement or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.60
    iru
    -0.59
    Featured
    -0.51
     pseudonym
    -0.50
    ilitarian
    -0.50
     pronounced
    -0.50
    uti
    -0.50
    AUT
    -0.49
     frivol
    -0.49
     ][
    -0.49
    POSITIVE LOGITS
     through
    2.17
     thru
    1.86
    through
    1.76
     Through
    1.55
    Through
    1.44
     trough
    1.22
     THR
    0.88
     past
    0.88
    past
    0.87
     around
    0.87
    Activations Density 0.612%

    No Known Activations