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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. 8-RES-JB
    11. 4256
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    Explanations

    phrases related to the general status or condition of things/events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express change or the state of affairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lication
    -0.76
    pora
    -0.75
    Joined
    -0.69
    lees
    -0.69
    obook
    -0.68
    nor
    -0.66
     descriptor
    -0.65
    ELD
    -0.63
    ledge
    -0.62
    odied
    -0.62
    POSITIVE LOGITS
     downhill
    0.98
     spir
    0.88
     unravel
    0.76
     escalated
    0.76
     unfolded
    0.75
     smoothly
    0.74
     transpired
    0.74
    MpServer
    0.72
     Spiral
    0.71
     cov
    0.71
    Activations Density 0.196%

    No Known Activations