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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. 6-RES-JB
    11. 23839
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the end-of-text token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.88
    ħĭ
    -0.84
    EStream
    -0.79
     destro
    -0.77
     Skydragon
    -0.73
     exha
    -0.72
     behavi
    -0.71
     hemor
    -0.69
    çĦ
    -0.68
    ĪĴ
    -0.67
    POSITIVE LOGITS
    ractor
    1.31
    ruly
    1.31
    ribute
    1.27
    ract
    1.26
    ruck
    1.22
    olerance
    1.22
    aken
    1.21
    asks
    1.20
    roph
    1.19
    ribut
    1.17
    Activations Density 0.061%

    No Known Activations