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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. 2-RES-JB
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    Explanations

    the concept of being released or liberated

    oai_token-act-pair · gpt-3.5-turbo

    terms related 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Grimm
    -0.70
    ç¥ŀ
    -0.66
     Humph
    -0.66
     Schwarz
    -0.66
    iop
    -0.63
    attr
    -0.61
     Hale
    -0.61
     Pall
    -0.60
     Aber
    -0.60
    POL
    -0.60
    POSITIVE LOGITS
     freeing
    1.09
    ktop
    1.04
    bies
    0.99
     freed
    0.99
    ntil
    0.88
    selage
    0.87
    chwitz
    0.86
    luaj
    0.82
    âĶģ
    0.81
    bie
    0.80
    Activations Density 0.013%

    No Known Activations