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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. 4-RES-JB
    11. 12148
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    Explanations

    the word "back" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the term "back" in various contexts

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

    No Comments

    Negative Logits
    ISION
    -0.75
    IFA
    -0.64
    abase
    -0.63
     Aires
    -0.63
     Debor
    -0.61
     BUS
    -0.58
    urious
    -0.58
     tremend
    -0.58
     ����
    -0.57
     veter
    -0.57
    POSITIVE LOGITS
    wards
    1.10
    lash
    0.99
    door
    0.91
    packing
    0.89
    drops
    0.83
    hoe
    0.82
    gam
    0.82
    packs
    0.81
    back
    0.79
    tracking
    0.78
    Activations Density 0.022%

    No Known Activations