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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. 7-RES-JB
    11. 24112
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    INDEX
    Explanations

    pronouns and verbs related to engaging or interacting with the audience

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "we" used in the context of collective involvement or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.73
     Cord
    -0.62
    idium
    -0.60
    atory
    -0.60
    Appearances
    -0.59
     Straw
    -0.59
    resistant
    -0.58
    cum
    -0.58
     Eleven
    -0.57
    more
    -0.57
    POSITIVE LOGITS
    've
    1.30
    're
    1.26
    'll
    1.16
    bsite
    1.16
    athered
    1.02
    'd
    0.99
     strive
    0.96
    selves
    0.96
     recommend
    0.90
    eding
    0.89
    Activations Density 0.265%

    No Known Activations