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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. 11-RES-JB
    6. 2433
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.71
     Quart
    -0.66
     theolog
    -0.61
     Kinder
    -0.60
     Mour
    -0.60
     optimism
    -0.59
     Scher
    -0.59
     Tanner
    -0.58
    Standing
    -0.58
     persever
    -0.58
    POSITIVE LOGITS
     offline
    1.37
    encrypted
    1.36
     encrypted
    1.25
     VPN
    1.23
     HTTPS
    1.20
     via
    1.18
     anonymously
    1.16
     passwords
    1.12
     DRM
    1.12
     online
    1.10
    Activations Density 0.349%

    No Known Activations