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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. 13589
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    Explanations

    references to landing or being on different surfaces

    oai_token-act-pair · gpt-3.5-turbo

    instances and references to land or terrain

    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
    vernment
    -1.01
     Marketable
    -0.73
    cientious
    -0.73
    éĹĺ
    -0.70
    hift
    -0.69
     tremend
    -0.67
    azi
    -0.65
    ĸļ
    -0.65
     Qiao
    -0.65
    ãĤ¦ãĤ¹
    -0.64
    POSITIVE LOGITS
    mass
    1.11
    locked
    1.03
    scape
    0.94
    plane
    0.89
    owner
    0.88
    mine
    0.85
    fall
    0.80
     masses
    0.79
    falls
    0.77
     mines
    0.77
    Activations Density 0.021%

    No Known Activations