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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. 4877
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    INDEX
    Explanations

    phrases related to actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing inevitability or finality

    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
    é¾
    -0.67
    ãĥ©ãĥ³
    -0.66
     acron
    -0.64
     abbrevi
    -0.63
     similarities
    -0.56
    dated
    -0.54
    DragonMagazine
    -0.54
     QR
    -0.52
     helium
    -0.52
     Kepler
    -0.52
    POSITIVE LOGITS
    .''
    1.41
    ."
    1.26
     anymore
    1.24
    .'"
    1.23
    .'
    1.18
    .</
    1.18
    .""
    1.15
    ''.
    1.13
    ."[
    1.10
    .�
    1.10
    Activations Density 0.502%

    No Known Activations