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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. 6-RES-JB
    11. 7633
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    Explanations

    phrases related to memory or recollection

    oai_token-act-pair · gpt-3.5-turbo

    references to memories and recollections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tan
    -0.85
    oit
    -0.81
    pex
    -0.80
    ahime
    -0.72
    ocrats
    -0.71
    adh
    -0.71
    inance
    -0.70
    acies
    -0.70
    itte
    -0.69
    olitical
    -0.69
    POSITIVE LOGITS
     vividly
    1.17
     recalling
    0.91
     recollection
    0.88
     remembering
    0.87
     memories
    0.85
     nostalg
    0.85
     vivid
    0.84
     hearing
    0.84
    remember
    0.83
     seeing
    0.82
    Activations Density 0.031%

    No Known Activations