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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. 3-RES-JB
    11. 8197
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    Explanations

    specific entities or individuals mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    consistently used terms and phrases related to definitive subjects or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istries
    -0.89
    SHIP
    -0.69
    emen
    -0.67
    CBC
    -0.66
    abases
    -0.66
    Wiki
    -0.66
    ECA
    -0.65
     Reno
    -0.65
    Kent
    -0.64
    ðĿ
    -0.64
    POSITIVE LOGITS
     progresses
    0.95
     progressed
    0.83
    ifted
    0.79
     ascended
    0.76
     unfolded
    0.73
     matured
    0.72
     hunted
    0.70
     result
    0.68
     leader
    0.67
     divid
    0.67
    Activations Density 0.766%

    No Known Activations