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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. 1-RES-JB
    11. 2211
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    INDEX
    Explanations

    positive running-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    instances of non-constructive criticism

    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
     ignition
    -0.67
    displayText
    -0.67
     dstg
    -0.64
     Simulator
    -0.64
     hereby
    -0.64
    */(
    -0.60
     payoff
    -0.59
     booking
    -0.59
     affinity
    -0.58
     installation
    -0.58
    POSITIVE LOGITS
    İĭ
    0.81
    frey
    0.73
    dden
    0.73
    åĩ
    0.73
     Hast
    0.71
    uda
    0.70
    SA
    0.68
    ourcing
    0.65
    orius
    0.65
    othy
    0.65
    Activations Density 0.000%

    No Known Activations