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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. 21307
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    INDEX
    Explanations

    statements or occurrences of events happening

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "came" in various contexts

    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
    apixel
    -0.89
    olor
    -0.89
    raid
    -0.84
    illusion
    -0.82
    sav
    -0.79
    lav
    -0.79
    orthodox
    -0.76
    ²¾
    -0.75
    entric
    -0.73
    mania
    -0.72
    POSITIVE LOGITS
     undone
    1.05
    BuyableInstoreAndOnline
    0.84
     ashore
    0.80
     WRITE
    0.77
     forth
    0.76
     Forth
    0.72
     Lans
    0.72
     Flesh
    0.71
     Pes
    0.70
     Kejriwal
    0.67
    Activations Density 0.027%

    No Known Activations