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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. 1-RES-JB
    11. 23196
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    Explanations

    phrases related to recalling memories or past events

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases that invoke nostalgia or memories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CEO
    -0.71
    venture
    -0.68
    elf
    -0.66
    DE
    -0.66
    ashed
    -0.65
    FO
    -0.63
    olson
    -0.62
    Sham
    -0.62
    DN
    -0.61
    ourmet
    -0.61
    POSITIVE LOGITS
    remember
    1.30
     Remember
    1.04
     remembering
    0.93
     remembered
    0.93
     Remem
    0.91
     remember
    0.89
    Remember
    0.86
     Recall
    0.85
    theless
    0.83
     remembers
    0.80
    Activations Density 0.006%

    No Known Activations