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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. 21096
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    Explanations

    words related to landing or landing-related activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "land" and its variations in context

    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
    vernment
    -0.97
    é¾įå¥ij士
    -0.79
    éĹĺ
    -0.77
    cientious
    -0.74
     Qiao
    -0.73
    女
    -0.72
    æł
    -0.72
    unction
    -0.69
    ettings
    -0.69
    ĸļ
    -0.68
    POSITIVE LOGITS
    mass
    0.97
    locked
    0.97
    plane
    0.91
    fall
    0.85
    scape
    0.79
     masses
    0.77
    falls
    0.77
    mine
    0.75
    planes
    0.75
    holders
    0.74
    Activations Density 0.018%

    No Known Activations