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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11240
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    Explanations

    conditional statements or hypothetical scenarios that include "would."

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the word "would."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    building
    -0.67
    rylic
    -0.66
     Kag
    -0.65
    resources
    -0.64
    Times
    -0.61
     Seoul
    -0.60
    story
    -0.60
     Modified
    -0.59
    meta
    -0.59
    holder
    -0.58
    POSITIVE LOGITS
     be
    0.92
     surely
    0.90
     ideally
    0.86
     doubtless
    0.84
     undoubtedly
    0.83
     otherwise
    0.83
    ÃĥÃĤ
    0.81
     probably
    0.81
     suffice
    0.81
    ĸļ
    0.81
    Activations Density 0.146%

    No Known Activations