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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. 7-RES-JB
    11. 4843
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    Explanations

    phrases related to limitations and challenges

    oai_token-act-pair · gpt-3.5-turbo

    terms related to challenges and limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psc
    -0.85
    igun
    -0.79
    ership
    -0.79
    writ
    -0.74
    owder
    -0.74
    inis
    -0.71
    elin
    -0.68
    onement
    -0.66
    ramid
    -0.64
    graph
    -0.62
    POSITIVE LOGITS
     inherent
    1.02
    hooting
    1.01
    cale
    0.99
     abound
    0.93
    pring
    0.90
    ome
    0.88
    omen
    0.88
     arising
    0.85
     plag
    0.85
     associated
    0.84
    Activations Density 0.150%

    No Known Activations