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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
    11. 6646
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    Explanations

    phrases denoting a wide range or broad impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to extensive or broad contexts and outcomes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.78
    adier
    -0.66
     Layer
    -0.65
    Ship
    -0.63
     Battalion
    -0.61
    Hyper
    -0.60
    ħ
    -0.59
    %-
    -0.58
    gged
    -0.58
    ID
    -0.57
    POSITIVE LOGITS
    theless
    1.12
    tenance
    0.97
    rontal
    0.91
    ranging
    0.88
    issance
    0.85
    atform
    0.83
    ortment
    0.82
    ishly
    0.77
    ness
    0.76
    annel
    0.75
    Activations Density 0.025%

    No Known Activations