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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. 7-RES-JB
    11. 1845
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    Explanations

    abstract concepts or goals that need to be achieved

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to goals and objectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anium
    -0.67
     srf
    -0.66
    ãĥ³ãĤ¸
    -0.63
    usha
    -0.62
     Stars
    -0.61
     Nose
    -0.58
    akin
    -0.57
    Stars
    -0.56
    ocl
    -0.56
     Speedway
    -0.56
    POSITIVE LOGITS
     firsthand
    0.80
     ASAP
    0.72
    lessness
    0.69
     because
    0.67
    .</
    0.67
    ionic
    0.66
     HuffPost
    0.63
    .<
    0.63
     happening
    0.62
    .
    0.62
    Activations Density 0.285%

    No Known Activations