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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. 6-RES-JB
    11. 15394
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    Explanations

    phrases related to specific entities or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Arbor
    -0.65
    sylv
    -0.59
    taboola
    -0.57
    nces
    -0.57
    etheless
    -0.52
    BIL
    -0.52
    limits
    -0.51
    vana
    -0.51
    ova
    -0.50
    PHOTOS
    -0.50
    POSITIVE LOGITS
    Jr
    0.69
    tein
    0.63
     himself
    0.59
    vous
    0.58
     ptr
    0.57
    axe
    0.57
    uden
    0.57
    ardless
    0.56
    hire
    0.56
     Jr
    0.54
    Activations Density 1.211%

    No Known Activations