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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. 4-RES-JB
    11. 16366
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    Explanations

    phrases related to a process of recovery from various circumstances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of recovery

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

    No Comments

    Negative Logits
    OPA
    -0.72
    nic
    -0.70
    sky
    -0.67
    WAY
    -0.66
    à¨
    -0.65
    picture
    -0.61
    pol
    -0.60
    way
    -0.59
    chie
    -0.58
    VP
    -0.58
    POSITIVE LOGITS
     recover
    0.89
    overy
    0.85
     recovered
    0.85
     recovers
    0.85
     recovery
    0.80
     recovering
    0.79
     gobl
    0.72
    itial
    0.72
    ucha
    0.71
     Recovery
    0.69
    Activations Density 0.016%

    No Known Activations