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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. 10295
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    Explanations

    words related to intervention or interference

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of projects or interjections

    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
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.69
    tnc
    -0.68
    sem
    -0.66
     Kinnikuman
    -0.66
    é¾įåĸļ士
    -0.64
    MpServer
    -0.64
    ISC
    -0.64
    ¯¯¯¯¯¯¯¯
    -0.63
    ©¶æ
    -0.62
    Ô
    -0.61
    POSITIVE LOGITS
    ject
    1.05
    ions
    0.95
    urous
    0.90
    ures
    0.84
    ulous
    0.82
    culosis
    0.81
    ierrez
    0.80
    jection
    0.79
    otomy
    0.78
    ossal
    0.78
    Activations Density 0.008%

    No Known Activations