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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. 3-RES-JB
    11. 18450
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    Explanations

    phrases related to sinking or related concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sinking or being submerged, particularly in a metaphorical or literal sense

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    à¦
    -0.67
    ============
    -0.64
    Express
    -0.63
    DIR
    -0.62
    EV
    -0.62
    ========
    -0.62
    çī
    -0.61
    PRES
    -0.60
     FML
    -0.60
    beit
    -0.59
    POSITIVE LOGITS
     sunk
    1.05
     sinking
    1.00
    lasses
    0.85
     sinks
    0.84
     sank
    0.84
    wreck
    0.83
     Titanic
    0.82
    itate
    0.81
    emetery
    0.78
    itized
    0.77
    Activations Density 0.008%

    No Known Activations