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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. 16530
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    Explanations

    references to the magnitude or size of objects or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "scale" 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
    esson
    -0.87
    vous
    -0.72
    unal
    -0.70
    selves
    -0.70
    uala
    -0.69
    ston
    -0.66
    icut
    -0.66
    ton
    -0.66
    odge
    -0.65
    ãĤ¸
    -0.64
    POSITIVE LOGITS
     scale
    1.05
     scales
    0.86
     Scale
    0.81
    scale
    0.80
     invari
    0.68
    enter
    0.68
     cooker
    0.66
    Scale
    0.66
     insanity
    0.65
     replica
    0.65
    Activations Density 0.009%

    No Known Activations