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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. 16166
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    Explanations

    texts related to sending messages, alerts, press releases, and directives

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "sent out" along with related terms suggesting dissemination or communication

    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
    tions
    -0.61
     Ascension
    -0.59
    Fish
    -0.59
    tein
    -0.58
    castle
    -0.57
     motives
    -0.57
     Basil
    -0.57
    _-
    -0.56
     Applic
    -0.56
     appetite
    -0.55
    POSITIVE LOGITS
     Pastebin
    0.81
     hither
    0.77
    inki
    0.76
    mail
    0.75
     reinforcements
    0.69
    raviolet
    0.68
    netflix
    0.67
     mail
    0.66
     forth
    0.65
    mails
    0.63
    Activations Density 0.247%

    No Known Activations