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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. 1-RES-JB
    11. 15897
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    Explanations

    specific mentions of physical depth or metaphorical depth within the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to depth and duration, particularly in metaphorical or figurative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertising
    -0.77
    line
    -0.75
    icip
    -0.73
     Commentary
    -0.72
    stown
    -0.70
    patch
    -0.68
    lia
    -0.68
    guyen
    -0.68
    paralle
    -0.68
    endar
    -0.67
    POSITIVE LOGITS
     depths
    1.30
     heights
    1.14
     lengths
    1.04
     Woods
    0.86
    terness
    0.85
     Ages
    0.82
     guiActiveUnfocused
    0.80
     Highest
    0.80
     hardness
    0.79
     Sadd
    0.76
    Activations Density 0.011%

    No Known Activations