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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. 3970
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    Explanations

    capital letters with or without special characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'H'

    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
    enhagen
    -0.81
     instr
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.68
    fman
    -0.67
     bottleneck
    -0.66
     sheet
    -0.65
     guarding
    -0.65
     flush
    -0.65
     Clicker
    -0.65
    ãĤ´ãĥ³
    -0.65
    POSITIVE LOGITS
    ospital
    1.28
    anging
    1.24
    IGH
    1.23
    awk
    1.21
    annah
    1.18
    ISTORY
    1.18
    ousing
    1.16
    umble
    1.16
    ollywood
    1.16
    ugh
    1.13
    Activations Density 0.050%

    No Known Activations