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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. 4-RES-JB
    11. 14203
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    Explanations

    phrases indicating the shedding or uncovering of information or insight

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey the act of revealing or disclosing information

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

    No Comments

    Negative Logits
    teness
    -0.73
    anamo
    -0.70
    netflix
    -0.66
    War
    -0.66
    heid
    -0.65
    anwhile
    -0.65
    efe
    -0.64
    ãĥĦ
    -0.64
     Pav
    -0.61
    ICO
    -0.61
    POSITIVE LOGITS
    brid
    0.94
    iencies
    0.85
    ittal
    0.85
     shed
    0.80
    inished
    0.78
    lighting
    0.78
    urst
    0.77
     hairs
    0.76
    irts
    0.76
    ding
    0.74
    Activations Density 0.008%

    No Known Activations