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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. 17504
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    Explanations

    references to personal experiences and day-to-day activities

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and memories

    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
    xit
    -0.66
     2024
    -0.59
     2020
    -0.55
     2021
    -0.54
    anwhile
    -0.53
     punishable
    -0.51
    worthiness
    -0.51
    Elsewhere
    -0.51
    2020
    -0.51
    ê
    -0.50
    POSITIVE LOGITS
     myself
    1.08
     my
    0.96
     haha
    0.80
     :)
    0.71
    My
    0.67
     I
    0.67
    laughs
    0.66
    my
    0.65
     :-)
    0.63
     kinda
    0.62
    Activations Density 1.622%

    No Known Activations