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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 12488
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    oai_token-act-pair · gpt-3.5-turbo

    timestamps and time-related information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    neau
    -0.65
    Ĥİ
    -0.57
     Parables
    -0.57
     uniforms
    -0.56
     sooner
    -0.55
     unfl
    -0.54
    ©¶æ
    -0.53
    rero
    -0.51
     kinderg
    -0.51
     fabric
    -0.51
    POSITIVE LOGITS
    PM
    1.03
     pm
    1.02
     IST
    1.02
    pm
    0.99
     PDT
    0.98
     PM
    0.93
     GMT
    0.92
     PST
    0.89
    AM
    0.87
     EDT
    0.81
    Activations Density 0.035%

    No Known Activations