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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. 16647
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    INDEX
    Explanations

    mentions or instances of individuals being freed from various situations or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of liberation or release

    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
     Hale
    -0.64
     Grimm
    -0.62
    POL
    -0.61
    ç¥ŀ
    -0.60
     grade
    -0.60
     Humph
    -0.59
     Aber
    -0.59
    KE
    -0.59
     Prediction
    -0.59
    inx
    -0.59
    POSITIVE LOGITS
    bies
    1.10
    ktop
    0.97
     freeing
    0.92
     freed
    0.86
    ntil
    0.86
    irs
    0.83
    bie
    0.83
     captives
    0.82
     liberated
    0.79
    itives
    0.79
    Activations Density 0.016%

    No Known Activations