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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. 11-RES-JB
    11. 6340
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    Explanations

    phrases related to challenges or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various challenges and difficulties faced in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    rig
    -0.62
    weather
    -0.60
    ocations
    -0.57
    rio
    -0.56
    ected
    -0.55
    ajo
    -0.55
    ocation
    -0.54
    tumblr
    -0.53
    Role
    -0.52
    cause
    -0.50
    POSITIVE LOGITS
     after
    2.02
    after
    1.88
     afterward
    1.68
     afterwards
    1.65
     AFTER
    1.60
     thereafter
    1.43
     After
    1.41
    After
    1.38
     following
    1.23
    before
    1.22
    Activations Density 0.726%

    No Known Activations