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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. 9-RES-JB
    11. 13609
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    Explanations

    mentions of public figures giving speeches or attending events

    oai_token-act-pair · gpt-3.5-turbo

    events related to political speeches or campaigns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.66
    etheless
    -0.59
    £ı
    -0.59
    76561
    -0.54
     Centauri
    -0.54
     Coffin
    -0.53
    cox
    -0.52
     Canterbury
    -0.51
     suicides
    -0.50
    ptoms
    -0.50
    POSITIVE LOGITS
    onent
    0.63
    ./
    0.61
    ariat
    0.61
     toast
    0.60
     applaud
    0.60
    UTERS
    0.58
    Interstitial
    0.57
    umni
    0.57
    ENN
    0.57
    ropolitan
    0.57
    Activations Density 0.142%

    No Known Activations