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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. 3-RES-JB
    11. 343
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    INDEX
    Explanations

    references to successful or accomplished actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "land" and its variations, indicating events of arrival or achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.82
    Downloadha
    -0.72
    ItemTracker
    -0.72
    ught
    -0.68
    ongyang
    -0.68
     restraint
    -0.67
     Fior
    -0.67
    ework
    -0.67
    hetic
    -0.66
     limiting
    -0.65
    POSITIVE LOGITS
    mass
    0.90
    locked
    0.85
    estine
    0.75
    lander
    0.74
    owner
    0.72
    votes
    0.70
    onet
    0.70
     landed
    0.69
    mine
    0.68
    plane
    0.67
    Activations Density 0.019%

    No Known Activations