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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. 396
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to social media platforms and usernames

    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
     Levant
    -0.72
    anwhile
    -0.72
     afore
    -0.65
     circ
    -0.62
     electronically
    -0.62
     boun
    -0.60
     lobbying
    -0.60
     distance
    -0.59
     Avalon
    -0.58
     Frankenstein
    -0.58
    POSITIVE LOGITS
    dL
    1.22
    zx
    1.21
    ZI
    1.20
    fg
    1.18
    dq
    1.18
    xa
    1.17
    xd
    1.17
    dB
    1.17
    zb
    1.17
    gz
    1.15
    Activations Density 0.062%

    No Known Activations