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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4830
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    Explanations

    words related to being beholden or subjected to certain circumstances or deals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "en" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.79
    enhagen
    -0.76
    itars
    -0.73
    mson
    -0.71
    orsche
    -0.70
     tremend
    -0.69
    ONSORED
    -0.68
    atography
    -0.68
    ython
    -0.68
     skelet
    -0.67
    POSITIVE LOGITS
    berger
    1.01
    wald
    0.93
    feld
    0.90
    emies
    0.89
    heim
    0.88
    baum
    0.88
    heimer
    0.86
    bach
    0.84
    baugh
    0.83
    heit
    0.81
    Activations Density 0.027%

    No Known Activations