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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. 2-RES-JB
    6. 19227
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    Explanations

    words related to machinery or equipment

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of "ators," indicating roles or functions in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASED
    -0.71
    Print
    -0.63
     axle
    -0.62
     mountainous
    -0.61
     situational
    -0.61
     Earth
    -0.60
    OUT
    -0.60
     geological
    -0.59
     Ecology
    -0.59
     earth
    -0.59
    POSITIVE LOGITS
    hip
    1.44
    hips
    1.20
    ators
    1.14
    paces
    1.08
    ervatives
    0.97
    ":["
    0.93
    atives
    0.92
    poons
    0.92
    etter
    0.88
    */(
    0.87
    Activations Density 0.026%

    No Known Activations