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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. 2-RES-JB
    11. 12211
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    Explanations

    verbal actions or observations using the word "saw."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saw"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     isot
    -0.67
     Adin
    -0.63
    cult
    -0.63
     agric
    -0.63
    EStreamFrame
    -0.62
    externalActionCode
    -0.62
    prime
    -0.60
    vernment
    -0.60
    processing
    -0.60
    essen
    -0.59
    POSITIVE LOGITS
    dust
    0.93
    saw
    0.86
    nesday
    0.84
    erala
    0.81
    lasses
    0.79
    lights
    0.77
    ablishment
    0.76
    PsyNetMessage
    0.76
    mill
    0.76
    agame
    0.74
    Activations Density 0.049%

    No Known Activations