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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. 22209
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    Explanations

    commands or references related to using software applications

    oai_token-act-pair · gpt-3.5-turbo

    words indicating suitability or competence in a specific context

    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
    EEE
    -0.84
     Sheep
    -0.75
     Zimbabwe
    -0.71
    plementation
    -0.70
    Ô
    -0.70
    @#&
    -0.70
     Pall
    -0.69
     Belarus
    -0.69
    ORGE
    -0.67
    vernment
    -0.67
    POSITIVE LOGITS
    itude
    1.54
    itudes
    1.23
    entimes
    0.97
     apt
    0.91
     recip
    0.81
    itud
    0.80
    uries
    0.80
    ickets
    0.79
     juven
    0.78
     suscept
    0.77
    Activations Density 0.005%

    No Known Activations