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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. 1-RES-JB
    11. 835
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    Explanations

    words related to motives or emotions

    oai_token-act-pair · gpt-3.5-turbo

    words related to automotive topics and emotional states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.84
    essor
    -0.71
    Downloadha
    -0.70
    paces
    -0.70
    owship
    -0.69
    onym
    -0.67
    iblings
    -0.65
     fixme
    -0.65
    etimes
    -0.65
    kers
    -0.62
    POSITIVE LOGITS
    otive
    1.22
    ãĤ¡
    0.80
    ItemTracker
    0.79
    mania
    0.75
    fare
    0.73
    Mania
    0.70
    igue
    0.69
    rocket
    0.69
     Electric
    0.68
     Dynamics
    0.68
    Activations Density 0.003%

    No Known Activations