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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. 0-RES-JB
    11. 22652
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    INDEX
    Explanations

    phrases related to income or a source of wealth

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "come" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fan
    -0.68
     base
    -0.63
     caches
    -0.62
     services
    -0.61
     Base
    -0.61
     respectively
    -0.60
     interchange
    -0.60
     thrott
    -0.58
     loop
    -0.57
     tours
    -0.57
    POSITIVE LOGITS
    come
    4.55
    comes
    2.76
    coming
    1.33
    look
    1.16
    nings
    1.12
    sight
    1.07
    sure
    1.06
    comed
    1.05
    correct
    1.02
    ride
    1.01
    Activations Density 0.013%

    No Known Activations