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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. 3-RES-JB
    11. 16386
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    INDEX
    Explanations

    instances of specific entities or events, such as "ISIS" and "Fox," along with instances of comparison or speculation using "if" statements

    oai_token-act-pair · gpt-3.5-turbo

    references to significant social or political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ;;;;
    -0.59
    senal
    -0.58
    bilt
    -0.55
    BuyableInstoreAndOnline
    -0.55
    Ô
    -0.54
    DAQ
    -0.53
    allery
    -0.53
    foundland
    -0.52
    ilet
    -0.52
     understatement
    -0.52
    POSITIVE LOGITS
     lacks
    0.59
     could
    0.57
     happens
    0.57
     hadn
    0.55
    iates
    0.55
     persists
    0.54
     forgot
    0.53
     would
    0.53
     couldn
    0.52
     goes
    0.52
    Activations Density 2.414%

    No Known Activations