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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. 5-RES-JB
    6. 6433
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scheme
    -0.94
     ACTIONS
    -0.91
     Reserve
    -0.82
     Ninth
    -0.82
     Direction
    -0.81
     Orient
    -0.80
     Index
    -0.79
     Enforcement
    -0.79
     Hearts
    -0.77
     Inspection
    -0.76
    POSITIVE LOGITS
    yp
    1.14
    podcast
    1.05
    mc
    0.99
    _
    0.98
    raham
    0.96
    idth
    0.95
    fd
    0.94
    tv
    0.94
    sth
    0.93
    olson
    0.93
    Activations Density 0.138%

    No Known Activations