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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the city "Dhaka"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city "Dhaka" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -1.00
    swick
    -0.93
    secut
    -0.79
    */(
    -0.75
     Crimean
    -0.74
    PsyNetMessage
    -0.74
    NetMessage
    -0.72
    ortium
    -0.69
    gomery
    -0.68
    HCR
    -0.68
    POSITIVE LOGITS
     Dh
    1.40
    awan
    0.98
    ahah
    0.96
    aval
    0.92
    abal
    0.91
    arm
    0.89
    ministic
    0.88
    onest
    0.85
    uran
    0.85
    abo
    0.84
    Activations Density 0.006%

    No Known Activations