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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. 4-RES-JB
    11. 9510
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    Explanations

    phrases related to gaining popularity or acceptance

    oai_token-act-pair · gpt-3.5-turbo

    words and concepts related to traction and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Peninsula
    -0.68
    tein
    -0.67
    owl
    -0.64
    thus
    -0.63
    yan
    -0.62
    volent
    -0.60
     bay
    -0.59
     arr
    -0.58
    ospital
    -0.58
    oak
    -0.57
    POSITIVE LOGITS
     traction
    0.93
    ability
    0.75
    20439
    0.74
    ãĥ¼ãĥĨ
    0.72
    itious
    0.71
    ixel
    0.71
    acea
    0.70
    pants
    0.70
    é¾įå¥ij士
    0.70
    wagon
    0.69
    Activations Density 0.012%

    No Known Activations