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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 19500
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Flore
    -0.72
    xual
    -0.69
    ACTED
    -0.67
     Stafford
    -0.66
     Sierra
    -0.66
     Vatican
    -0.65
     Brees
    -0.65
     Twain
    -0.64
    lled
    -0.64
    nces
    -0.64
    POSITIVE LOGITS
    odynamic
    1.24
    odynam
    1.18
    otherapy
    1.15
    ophysical
    1.13
    okin
    1.13
    ionics
    1.11
    odynamics
    1.09
    otic
    1.08
    osis
    1.07
    ospace
    1.05
    Activations Density 0.013%

    No Known Activations