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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. 8816
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    NJ
    -0.69
    Assembly
    -0.69
    Loading
    -0.69
    theless
    -0.69
    Building
    -0.69
    Sensor
    -0.68
    Registered
    -0.67
    Cru
    -0.66
    CTV
    -0.66
    IGN
    -0.66
    POSITIVE LOGITS
    backs
    0.99
    thro
    0.97
     slashed
    0.92
     cuts
    0.91
     slashing
    0.86
    lasses
    0.84
    opian
    0.82
    payer
    0.81
    cutting
    0.80
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.80
    Activations Density 0.025%

    No Known Activations