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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. 4-RES-JB
    11. 9137
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    Explanations

    phrases indicating events or actions that took place long before a certain point

    oai_token-act-pair · gpt-3.5-turbo

    temporal references indicating distance in time or place

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

    No Comments

    Negative Logits
    aspx
    -0.66
     PW
    -0.65
     Accessed
    -0.65
     Oper
    -0.64
    dale
    -0.64
     sugg
    -0.63
     rul
    -0.63
    CP
    -0.61
    otation
    -0.59
    CW
    -0.59
    POSITIVE LOGITS
    sighted
    0.75
    izabeth
    0.74
    RET
    0.69
    Js
    0.68
    retch
    0.66
     (~
    0.66
    akuya
    0.65
    ounters
    0.65
    idious
    0.65
    acters
    0.64
    Activations Density 0.074%

    No Known Activations