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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. 21877
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    Explanations

    phrases related to different offices or departments within a governmental or organizational context

    oai_token-act-pair · gpt-3.5-turbo

    references to official government offices or organizations

    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
    nir
    -0.78
    oise
    -0.72
    âķIJâķIJ
    -0.71
    itious
    -0.67
    Bey
    -0.66
    ãĤ½
    -0.66
    hered
    -0.65
    vous
    -0.63
    udeau
    -0.63
    ushima
    -0.63
    POSITIVE LOGITS
     Office
    0.99
     365
    0.92
     Depot
    0.87
    Office
    0.84
    holders
    0.74
    endar
    0.72
     Lum
    0.70
     Inspector
    0.69
     Desk
    0.69
     Paper
    0.67
    Activations Density 0.017%

    No Known Activations