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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. 18034
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    INDEX
    Explanations

    words related to locations and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a degree of valuation or consideration

    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
    estate
    -0.78
     Cabin
    -0.71
    SHIP
    -0.68
    Iterator
    -0.67
     Recomm
    -0.66
     Dahl
    -0.65
    ]}
    -0.65
    ACTED
    -0.64
     Sessions
    -0.61
    anon
    -0.60
    POSITIVE LOGITS
     backdrop
    0.78
     expectation
    0.74
     intention
    0.70
     gloves
    0.69
     bang
    0.68
     ears
    0.66
     caveat
    0.65
     dignity
    0.65
     afore
    0.65
     regard
    0.65
    Activations Density 1.057%

    No Known Activations