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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. 8-RES-JB
    11. 10667
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    Explanations

    statements indicating future actions or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.73
    framework
    -0.65
    soType
    -0.64
     Advertisement
    -0.63
     algorith
    -0.63
    76561
    -0.62
    Creat
    -0.62
     Libraries
    -0.60
     Sequ
    -0.60
    regulated
    -0.60
    POSITIVE LOGITS
     undoubtedly
    1.13
     surely
    1.09
     be
    1.08
     doubtless
    1.08
     undergo
    1.06
     join
    1.05
     likely
    1.02
     gladly
    0.99
    iam
    0.98
     reportedly
    0.97
    Activations Density 0.173%

    No Known Activations