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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. 3-RES-JB
    11. 12977
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    Explanations

    words related to logging and logotypes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logging and data representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.86
    ãĥĨãĤ£
    -0.64
    HAEL
    -0.63
    ecause
    -0.63
    theless
    -0.61
    pread
    -0.61
    riages
    -0.60
    xual
    -0.58
     Boris
    -0.58
     Borough
    -0.58
    POSITIVE LOGITS
    gers
    1.26
    istically
    1.25
    istics
    1.14
    istic
    1.02
    istical
    1.01
    ging
    0.97
    itech
    0.96
    ophon
    0.94
    opers
    0.90
    otype
    0.85
    Activations Density 0.009%

    No Known Activations