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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. 10-RES-JB
    11. 16129
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    Explanations

    phrases related to specific days and times, in particular, mornings

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference specific times of day, particularly "morning"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obal
    -0.74
    anos
    -0.72
    cient
    -0.69
    pmwiki
    -0.67
    reat
    -0.67
    ome
    -0.65
    insured
    -0.61
    emaker
    -0.59
    paralle
    -0.59
    pires
    -0.59
    POSITIVE LOGITS
     commute
    0.96
     EDT
    0.82
     afternoon
    0.77
     PST
    0.76
     EST
    0.76
     commuters
    0.75
     PDT
    0.74
    noon
    0.72
     morning
    0.70
     hours
    0.69
    Activations Density 0.052%

    No Known Activations