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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. 6-RES-JB
    11. 15396
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    Explanations

    phrases related to personal experiences or anecdotes

    oai_token-act-pair · gpt-3.5-turbo

    instances of personal experiences or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dissip
    -0.68
    rium
    -0.67
    ¯¯¯¯
    -0.65
    emer
    -0.63
     Plaint
    -0.61
    })
    -0.61
    edy
    -0.59
     itself
    -0.58
     themselves
    -0.58
    Kin
    -0.57
    POSITIVE LOGITS
     myself
    1.07
     fortunate
    0.80
    eah
    0.77
     my
    0.76
     researching
    0.74
    ©¶æ
    0.71
     wondering
    0.71
     recently
    0.71
     browsing
    0.70
     noticing
    0.69
    Activations Density 0.395%

    No Known Activations