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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. 6-RES-JB
    11. 1472
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the character "a" in various contexts within the 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
    lasses
    -0.76
    ARGET
    -0.65
    ymm
    -0.65
     <[
    -0.64
    onel
    -0.64
     WATCHED
    -0.63
    ONSORED
    -0.63
     recruits
    -0.61
     pige
    -0.61
    rored
    -0.61
    POSITIVE LOGITS
    ñ
    1.15
    ption
    0.99
    BILITY
    0.99
    pling
    0.96
    qua
    0.96
    veland
    0.93
    ichi
    0.92
    ña
    0.92
    ð
    0.91
    emon
    0.91
    Activations Density 0.065%

    No Known Activations