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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. 15555
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    Explanations

    words related to legal or justice matters

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "ha" in various contexts

    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
    é¾įå¥ij士
    -0.92
    geist
    -0.74
    DragonMagazine
    -0.73
    âķIJ
    -0.71
    çĶŁ
    -0.70
    oulos
    -0.70
    orius
    -0.68
    insula
    -0.68
     Sacrament
    -0.67
    é¾įå
    -0.67
    POSITIVE LOGITS
    ugh
    1.12
    pless
    1.06
     ha
    1.00
    jj
    0.93
    ves
    0.92
    vel
    0.91
    ilty
    0.88
    uling
    0.88
    ired
    0.86
    ilst
    0.85
    Activations Density 0.006%

    No Known Activations