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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 17587
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of specific names or topics related to notable individuals or entities

    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
     fall
    -0.73
     brood
    -0.67
     simulator
    -0.64
     humour
    -0.62
    Graph
    -0.61
     animated
    -0.59
     shorthand
    -0.59
     Falling
    -0.59
     static
    -0.57
     source
    -0.56
    POSITIVE LOGITS
    tta
    4.78
    tti
    2.34
    tto
    2.10
    ttes
    1.75
    tt
    1.63
    lla
    1.35
    lli
    1.24
    ta
    1.22
    zza
    1.20
    lda
    1.20
    Activations Density 0.013%

    No Known Activations