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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. 2
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    INDEX
    Explanations

    the name "Iz" and related variations

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the term "Giz" in context

    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
    quartered
    -0.82
     shroud
    -0.71
    ¥ŀ
    -0.71
     horns
    -0.70
    «ĺ
    -0.70
     srf
    -0.70
     whistle
    -0.69
     Norn
    -0.69
     refrain
    -0.65
     tyrann
    -0.65
    POSITIVE LOGITS
    arro
    1.38
    ombie
    1.08
    iz
    1.07
    azz
    1.03
    uku
    0.94
    awa
    0.94
    abel
    0.93
    umi
    0.92
    oids
    0.90
    hao
    0.89
    Activations Density 0.010%

    No Known Activations