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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. 3895
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    Explanations

    words related to educational settings and classroom activities

    oai_token-act-pair · gpt-3.5-turbo

    references to educational classes

    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
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    Negative Logits
    orthy
    -0.66
     hypot
    -0.64
     viral
    -0.62
     commercially
    -0.62
    edia
    -0.62
    OPLE
    -0.61
     amplified
    -0.60
     wit
    -0.60
     Senegal
    -0.60
    vernment
    -0.60
    POSITIVE LOGITS
    ifications
    1.13
    classes
    1.02
    ifiers
    1.02
    ifier
    0.97
    ifies
    0.97
    ifying
    0.88
    naire
    0.86
    room
    0.85
    eners
    0.84
     classes
    0.83
    Activations Density 0.020%

    No Known Activations