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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. 10-RES-JB
    11. 13686
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    INDEX
    Explanations

    phrases related to change or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sequence or course of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.82
    fml
    -0.75
    ingers
    -0.74
    paces
    -0.72
    kernel
    -0.72
    tops
    -0.71
    iaries
    -0.68
    wives
    -0.67
    chens
    -0.66
    sense
    -0.66
    POSITIVE LOGITS
     events
    1.18
     development
    1.14
     progression
    1.13
     elimination
    1.12
     evolution
    1.10
     advancement
    1.03
     succession
    1.02
     action
    0.99
     escalation
    0.98
     accumulation
    0.97
    Activations Density 0.116%

    No Known Activations