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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. 2-RES-JB
    11. 12189
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    Explanations

    quantitative terms related to comparisons or analysis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time and change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Suit
    -0.51
     Tracks
    -0.44
     Jol
    -0.40
    enture
    -0.40
    iversity
    -0.39
     Mub
    -0.39
     Starts
    -0.38
    jan
    -0.38
     Transformation
    -0.38
     Exhibition
    -0.37
    POSITIVE LOGITS
    etheless
    0.66
    NetMessage
    0.54
    natureconservancy
    0.54
    DATA
    0.47
    lopp
    0.45
    astical
    0.43
     bothering
    0.42
    hin
    0.42
    iatus
    0.42
    ministic
    0.41
    Activations Density 5.037%

    No Known Activations