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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. 22781
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    Explanations

    economic terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate association or grouping

    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
     }}
    -0.49
     srfAttach
    -0.49
    sylv
    -0.49
     blah
    -0.48
    代
    -0.48
     respectively
    -0.47
     Vaugh
    -0.46
     ..."
    -0.45
     å¤
    -0.44
     [|
    -0.44
    POSITIVE LOGITS
    resa
    0.79
    xiety
    0.72
    mosp
    0.65
     largeDownload
    0.60
    jriwal
    0.60
    odore
    0.59
    swers
    0.57
    notations
    0.56
    etheless
    0.56
    zbollah
    0.55
    Activations Density 0.694%

    No Known Activations