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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. 10-RES-JB
    11. 24529
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    Explanations

    words related to the Rhine River

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rhinoceroses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
     SAR
    -0.66
     Samoa
    -0.64
     satell
    -0.62
    âĸ¬âĸ¬
    -0.61
     Izan
    -0.60
     laid
    -0.59
     controlling
    -0.58
     clutch
    -0.58
    POSITIVE LOGITS
    ythm
    1.49
    ymes
    1.40
    yth
    1.39
    onda
    1.32
    inos
    1.20
    ode
    1.11
    llor
    1.10
    imes
    1.04
    ô
    1.04
    yd
    1.03
    Activations Density 0.020%

    No Known Activations