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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. 9-RES-JB
    11. 2286
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    Explanations

    YouTube video IDs (v=XXXXXXXXXX)

    oai_token-act-pair · gpt-3.5-turbo

    the presence of URLs and references to video content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transf
    -0.72
     derog
    -0.70
     Palest
    -0.70
     cler
    -0.69
     Levant
    -0.69
     Minor
    -0.68
     reper
    -0.68
     Scroll
    -0.68
     loophole
    -0.65
     pretext
    -0.61
    POSITIVE LOGITS
    _-
    1.26
    DAQ
    1.03
    OY
    1.01
    ZX
    0.96
    Ec
    0.96
    _
    0.96
    AY
    0.95
    xus
    0.95
    uv
    0.95
    OX
    0.94
    Activations Density 0.018%

    No Known Activations