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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. 15632
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    Explanations

    phrases related to directions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "to be" in various forms

    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
    Site
    -0.67
    tags
    -0.62
    Spot
    -0.58
    sn
    -0.55
    pot
    -0.55
     razor
    -0.54
    ãĥ©ãĥ³
    -0.53
    weed
    -0.53
    Key
    -0.53
    Search
    -0.53
    POSITIVE LOGITS
    staking
    0.74
    fw
    0.70
    ghan
    0.68
    sson
    0.68
    Sov
    0.68
    selves
    0.67
    yssey
    0.67
    gyn
    0.65
     aloud
    0.65
    qv
    0.63
    Activations Density 0.209%

    No Known Activations