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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. 18677
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    Explanations

    proper nouns, likely names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names and terms of significance in various contexts

    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
    ãĥ¼ãĥĨãĤ£
    -0.58
    Redd
    -0.52
    joining
    -0.51
    ãĥĩãĤ£
    -0.51
    ¶ħ
    -0.49
    20439
    -0.49
    ãĥ¼ãĥĨ
    -0.47
    fx
    -0.46
    ̶
    -0.46
    mitt
    -0.45
    POSITIVE LOGITS
     itself
    0.62
     consists
    0.59
     cannot
    0.58
     behaves
    0.56
     is
    0.55
     employs
    0.54
     himself
    0.54
     herself
    0.54
     possesses
    0.54
     survives
    0.54
    Activations Density 0.673%

    No Known Activations