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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. 6-RES-JB
    11. 20270
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    Explanations

    numerical quantities described with words

    oai_token-act-pair · gpt-3.5-turbo

    information related to population statistics and large-scale social phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Collider
    -0.56
     Ballistic
    -0.56
     Diver
    -0.55
     sunset
    -0.52
     Simulation
    -0.50
     Execution
    -0.50
     Struct
    -0.49
     procedure
    -0.48
     Proced
    -0.48
     steroids
    -0.48
    POSITIVE LOGITS
     whom
    0.83
    who
    0.76
    EStream
    0.75
    selves
    0.66
    anners
    0.66
     alike
    0.65
    dinand
    0.62
    heastern
    0.60
    assadors
    0.59
     sworn
    0.58
    Activations Density 1.762%

    No Known Activations