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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. 14139
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    Explanations

    phrases emphasizing agreement or addition

    oai_token-act-pair · gpt-3.5-turbo

    the word "too" in various contexts

    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
    è¦ļéĨĴ
    -0.77
    termin
    -0.74
    auri
    -0.66
    enance
    -0.64
    inates
    -0.61
     bulletin
    -0.61
    vict
    -0.60
    inators
    -0.60
    76561
    -0.59
     roundup
    -0.59
    POSITIVE LOGITS
    uld
    0.65
    ahn
    0.64
    ISTORY
    0.62
    athy
    0.62
    OHN
    0.62
    avorite
    0.62
    LV
    0.61
    eling
    0.59
     Loren
    0.59
     much
    0.59
    Activations Density 0.022%

    No Known Activations