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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. 10-RES-JB
    11. 13963
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    Explanations

    words or phrases indicating a sequence of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sequence or connection of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adin
    -0.59
    tery
    -0.59
    utable
    -0.58
    voy
    -0.58
    ibr
    -0.57
    cdn
    -0.57
    iva
    -0.56
    aura
    -0.56
    ib
    -0.56
    tons
    -0.56
    POSITIVE LOGITS
     closely
    1.15
     suit
    1.14
     shortly
    0.92
     swiftly
    0.84
     thereafter
    0.81
    suit
    0.79
    bys
    0.76
     immediately
    0.73
     logically
    0.72
     afterwards
    0.71
    Activations Density 0.029%

    No Known Activations