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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. 8-RES-JB
    11. 10759
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    INDEX
    Explanations

    instances where a series of words are commonly used together

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "everything" or "all."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parables
    -0.67
    gee
    -0.66
    raviolet
    -0.63
    ctors
    -0.63
    np
    -0.61
    vale
    -0.61
    zn
    -0.59
    yip
    -0.59
    Mos
    -0.57
    fm
    -0.57
    POSITIVE LOGITS
    ocation
    1.02
    udes
    0.98
    together
    0.96
    ocating
    0.92
    igator
    0.88
    usions
    0.87
    ocated
    0.85
    ayed
    0.84
     together
    0.83
     depends
    0.81
    Activations Density 0.054%

    No Known Activations