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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. 4-RES-JB
    11. 24456
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    Explanations

    phrases related to meeting requirements or obligations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meet" in various contexts

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

    No Comments

    Negative Logits
    etheless
    -0.94
    cffffcc
    -0.83
    uyomi
    -0.76
    wcs
    -0.74
    cember
    -0.74
    trop
    -0.73
    culus
    -0.71
     destro
    -0.70
    container
    -0.67
    ¥ŀ
    -0.67
    POSITIVE LOGITS
    enance
    0.87
    ings
    0.81
    ropolis
    0.75
    amorph
    0.75
    yll
    0.75
    aunt
    0.74
     meet
    0.73
    tle
    0.71
    ingly
    0.69
    ees
    0.69
    Activations Density 0.024%

    No Known Activations