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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. 13023
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    Explanations

    words related to angry or critical expressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tirades and vitriol in discussions

    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
    spring
    -0.74
    trust
    -0.72
    erness
    -0.63
     Borders
    -0.63
     Helpful
    -0.62
     Farmers
    -0.62
     scen
    -0.61
    matic
    -0.60
    sense
    -0.60
    finger
    -0.60
    POSITIVE LOGITS
    ades
    0.92
    kees
    0.85
    ade
    0.81
    anche
    0.80
    itri
    0.79
    cade
    0.79
    aded
    0.78
    uously
    0.78
    acia
    0.75
    itous
    0.75
    Activations Density 0.023%

    No Known Activations