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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. 2-RES-JB
    11. 12099
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    Explanations

    references to specific entities, specifically related to vehicles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific campaign or brand related to Dodge vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kubrick
    -0.88
     Canaver
    -0.83
    ¶æ
    -0.80
    PsyNetMessage
    -0.77
    ĸļ
    -0.76
    ablishment
    -0.75
    akeru
    -0.74
    ocene
    -0.71
    coe
    -0.70
    colm
    -0.69
    POSITIVE LOGITS
    DD
    0.90
    asted
    0.81
     DD
    0.80
    mail
    0.73
    zilla
    0.72
    mails
    0.72
    ager
    0.70
    cker
    0.70
    pee
    0.69
    lance
    0.68
    Activations Density 0.019%

    No Known Activations