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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. 3-RES-JB
    11. 4987
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    INDEX
    Explanations

    references to technology or futuristic concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to heightened or extreme conditions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UE
    -0.82
    oured
    -0.77
    ORED
    -0.75
    ³³³
    -0.75
    ello
    -0.74
    UES
    -0.74
    ivity
    -0.74
    DERR
    -0.73
     Franks
    -0.71
    Ú
    -0.70
    POSITIVE LOGITS
    bole
    1.16
    visor
    1.07
     hyper
    0.96
     hyp
    0.95
    dimension
    0.92
    cephal
    0.91
    hyper
    0.90
    bol
    0.89
    anth
    0.86
    tro
    0.86
    Activations Density 0.007%

    No Known Activations