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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. 11559
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    Explanations

    phrases involving the word "many"

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "many" in various contexts

    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
     appre
    -0.63
    ãĤ´
    -0.62
     clay
    -0.60
     appro
    -0.59
    ãĤ´ãĥ³
    -0.58
     optics
    -0.58
     assass
    -0.58
     Bounty
    -0.57
     grenade
    -0.57
     GEAR
    -0.56
    POSITIVE LOGITS
    doms
    0.90
    Downloadha
    0.79
     albeit
    0.78
    bang
    0.77
     besides
    0.75
    western
    0.72
    blooded
    0.71
    umeric
    0.71
    ideo
    0.71
     sidx
    0.71
    Activations Density 0.355%

    No Known Activations