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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3175
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    INDEX
    Explanations

    numerical tokens in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    the end-of-document tokens or markers indicating the conclusion of a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     highs
    -0.72
     Cerberus
    -0.71
     horizont
    -0.71
     breeze
    -0.71
    Ĥİ
    -0.69
     Thumbnails
    -0.67
     multiplying
    -0.65
     downed
    -0.65
     swings
    -0.65
     wip
    -0.64
    POSITIVE LOGITS
    uggets
    1.25
    erves
    1.14
    guyen
    1.08
    ucle
    1.07
    umerous
    1.07
    aughty
    1.06
    ominated
    1.05
    omin
    1.04
    elson
    1.04
    ihil
    1.04
    Activations Density 0.031%

    No Known Activations